Smart Transportation Research Group

Head: Prof. Hrishikesh Venkataraman, Sr Member - IEEE and ACM, Fellow - IET(UK) and IE(India)
Email: hvraman@iiits.in , stas@iiits.in
Objective

Smart transportation involves an amalgamation of transportation systems, traffic control systems, traffic safety systems, and other automated applications related to transportation technology. Traffic control applications include toll collections, congestion control, and on-board multimedia/information systems. Traffic safety applications include automatic speed control, lane changing and merging, collision warning, blind spot warning and dynamic route changes. Automobile companies have been aggressively looking for solutions such as driverless cars, and, to begin with system assisted driving.

The Smart Transportation Group is focused on the research and development of automobiles, which employ automobile-to-automobile communication, automobile-to-environment communication in real-time, in-automobile detection, out-automobile detection and real-time recommendation required for system assisted driving. The research encompasses the following focus areas:

  • V2V and V2I Communication
  • Underwater Vehicles / UAV
  • IoT / Sensors for ADAS
  • Co-operative Autonomy
  • Computer Vision
  • Machine Learning / Deep Learning

The research produced by the Smart Transportation Research Group will have a significant impact on the automobile industry, car electronic manufacturers, Ministry of Urban Development and National Highway Authority of India.

Faculty
No Name of Faculty Area of Specialization
1. Head - Dr. Hrishikesh Venkataraman

hvraman@iiits.in

 Multihop Vehicular Communication, Networking and communication aspect for Smart Cities , ADAS, Underwater Autonomous Vehicle
2. Dr. Raja Vara Prasad

yrv.prasad@iiits.in

 Wireless Sensor and Actuator Networks (WSAN), Protocols for Internet of Things (IoT), Digital Twins, Unmanned Aerial Vehicles (UAVs), Sensor Fusion: WSN and Computer Vision (CV)
3. Dr. Sreeja S R

sreeja.sr@iiits.in

 Brain-Computer Interface (BCI), EEG Signal Processing and Feature Engineering, Machine Learning and Data-Driven Cognitive Analysis
4. Dr. Mrinmoy Ghorai

mrinmoy.ghorai@iiits.in

 Image Processing, Computer Vision, Machine Learning
Sponsored Projects
No Title PI and Co-PIs Duration Amount (Rs.) Funding Agency
1 Route Optimization and Battery Life Analytics for Electric Vehicles Dr. Hrishikesh Venkataraman July 2024 to June 2026 13 Lakhs Nichesolv
2 DIGIT Dr Hrishikesh Venkataraman
Dr Raja Vara prasad
Dr. Sreeja SR		 April 2024 to March 2026 30 Lakhs UKIERI (Indo-UK Education and Research Initiative)
3 Intelligent Mechanism for Autonomous Underwater Vehicles (AUV) Dr. Hrishikesh Venkataraman
Dr. Mrinmoy Ghorai		 Sept 2023 to Sept 2025 51.6 Lakhs DOM - NIOT, MoES, GoI
4 Intelligent Road Safety Mechanism for 2-Wheeler Vehicles in India Dr. Hrishikesh Venkataraman
Dr. Maryam Kaveshgar
Dr. Mehul Rawal (Ahmedabad Univ)		 May 2023 to June 2024 15.5 Lakhs IEEE ITSS
5 Data Analytics based Road Quality Index (RQI) Dr Hrishikesh Venkataraman
Dr Sreeja SR		 Sept 2023 to Sept 2024 9.96 Lakhs i-HUB, IIIT Hyderabad
6 Smart Safety Mechanism for 2-Wheeler Driving in Roads Dr Hrishikesh Venkataraman
Dr Jaswanth N (Woxsen University)		 Sept 2023 to Sept 2024 9.09 Lakhs i-HUB, IIIT Hyderabad
7 Enhancement of the IoT skill set development Dr. Hrishikesh Venkataraman
Dr. Purav Shah ( Middle Sex University, London)		 Nov 2021 to Jun 2024 15 lakhs British Council
8 Road Quality Indicator (RQI) for Heterogeneous Nature of Indian Roads H. Venkataraman 2021 - 2022 9.04 Lakhs i-HUB, IIIT Hyderabad
9 Design and Development of Bio-inspired Network of AutonomousUnderwater Vehicles Dr. Hrishikesh Venkataraman 2020 - 2022 46,88,605 Naval Research Board (NRB), DRDO
10 Camera-based Lane and Road Boundary Detection during Night-Time Driving Dr. Hrishikesh Venkataraman 2018 - 2021 16,81,000 Hella Automotive Pvt Ltd
11 Smart Village wells Dr. Hrishikesh Venkataraman
Dr. Raja Vara Prasad
Dr. Viswanath Pulabaigari		 2018 - 2021 10 lakhs DST NM-ICPS
12 Seamless Multihop Communication for Road Traffic Control in Vehicular Networks (Smart-VAN) Dr. Hrishikesh Venkataraman 2017 - 2020 12,19,000 DST SERB ECR
13 Driver’s drivability measurements and recommendations for adaptive system control in vehicles (Smart-vehicle) Dr. Hrishikesh Venkataraman and
Dr. Rolf Assfalg (DHBW, Germany)		 2016-2019 10,26,000 DST - DAAD
Publications
2024
  • [70] Vandavasi, Bala Naga Jyothi, S JaiAkash, Narayanaswamy Vedachalam, Gidugu,Ananda Ramadass, and Venkataraman, Hrishikesh.”Design and Development of Deep Learning-Aided Vision Guidance System for AUV Homing Applications,” in IEEE Embedded Systems Letters, Volume 16, No. 2, pages 198-201, June 2024.
  • [69] Shaik, S., Madeswaran, S., Manickavasagam, P. and Venkataraman, H., “ Design and Development of H-AUV for Shallow Water Applications.” in IEEE Transportation Electrification Conference and Expo (ITEC), (pp. 1-5), June 2024.
  • [68] Shivamani, M., Sudarshan, M., Jyothi, V.B.N., Vadivelan, A. and Venkataraman, H., “Development and Validation of Buoyancy Based Depth Control for Micro AUVs” in IEEE Transportation Electrification Conference and Expo (ITEC), (pp. 1-5), June 2024.
  • [67] Swathi, P., Balasubramanian Kandaswamy, and Hrishikesh Venkataraman. "Routing Strategies to Enhance Situational Awareness of Connected Vehicles in Unorganised Traffic Junctions." in IEEE Transportation Electrification Conference and Expo (ITEC), pp. 1-5. IEEE, June 2024.
  • [66] Shaik, S., Jyothi, V.B.N., and Venkataraman, H., “Deep learning techniques for the prediction of ocean currents for underwater vehicles.” World Ocean Science Congress (WOSC - 2024) conference, NIOT-IIT Madras, Feb 2024.
2023
  • [65] BNJ Vandavasi, AR Gidugu and H. Venkataraman, “Machine learning based Electro-Magnetic Field guided Localization Technique for Autonomous Underwater Vehicle (AUV) Homing”, Ocean Engineering, Elsevier, Volume 280, July 2023.
  • [64] N. Shivamani, BNJ Vandavasi, S. Shaikh and H. Venkataraman, “GPS-Aided Auto Navigation System for Autonomous Vehicles”, 11th IEEE Electronic Systems Devices and Computing (ESDC), 4 – 6 May 2023.
  • [63] N. Mahesh, S. Shaik and H. Venkataraman, “Battery Modelling and Performance Analysis of Time Varying Load using Simulink”, 11th IEEE Electronic Systems Devices and Computing (ESDC), 4 – 6 May 2023.
  • [62] N. Jaswanth, T. Bahr and H. Venkataraman, “Impact of Pruning and Quantization: A Light Weight Multi-Sensor Pothole Detection System”, 11th IEEE Electronic Systems Devices and Computing (ESDC), 4 – 6 May 2023.
  • [61] BNJ Vandavasi, AR Gidugu and H. Venkataraman, “Deep Learning aided Magnetostatic Fields based Real-Time Pose Estimation of AUV for Homing Applications”, IEEE Sensors Letters, Vol. 7, No. 4, pp. 1-4, February 2023.
  • [60] S. Shaik, BN Jyothi, V. Narayanaswamy and H. Venkataraman, “Development and Validation of Embedded System, Architecture for Shallow Water-based H-AUV”, Journal of Marine Technology Society (MTS), Vol. 57, No. 1, pp. 168-179, January 2023.
2022
  • [59] S. Mihai, H. Venkataraman, et. al (12 authors), “Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects” IEEE Survey and Tutorials, 4th Quarter, 2022.
  • [58] T. Bahr, N. Jaswanth and H. Venkataraman, “Multi Sensor Information fusion for determining Road Quality for Semi Autonomous Vehicles”, 10th SAE India International Mobility Conference, Bangalore, September 2022.(Springer)
  • [57] J. Nidamanuri, P. Mukherjee, R. Assfalg and H. Venkataraman, “Auto-Alert: A Spatial and Temporal Architecture for Driving Assistance in Road Traffic Environments”, Springer Journal of Intelligent Transportation Systems Research, June 2022.
  • [56] K.K. Tiwari, YRV Prasad and H. Venkataraman, “Performance Evaluation of LoRa in Mixed Environments of Sparsely Distributed Vegetation and Urban Scenarios”, IEEE CIVEMSA, Chemnitz, Germany, June 2022.
  • [55] D.P. Shetve, R. Imandi, YRV Prasad, R. Trestian, H. Nguyen and H. Venkataraman, “Adaptive N-Step Technique for Real-Time Anomaly Detection in Smart Manufacturing”, IEEE Industrial Cyber Physical System (ICPS), Warwick, UK, May 2022.
  • [54] H. Venkataraman and K. Dhandapani, “The State of Sustainability in the Developing World”, The Palgrave Handbook of Global Sustainability, Springer, April 2022.
  • [53] S. Shaik, P.G Pokkuluri and H. Venkataraman, “GELS: Generalized Energy-based Leader Selection in Bio-Inspired Leader-Follower AUV Network”, Journal of Marine Technology Society (MTS), Vol. 56, No. 2, pp. 35-46, March 2022
  • [52] S. Shakeera, Y. Pavan Kumar and H. Venkataraman, “Integration of Gazebo and ROS for Underwater Vehicle Environment”, IEEE Oceans’22, Chennai, India, Feb’2022.
  • [51] B. Naga Jyothi, ADN Venkatesh and H. Venkataraman, “Vision based Deep Learning Algorithm for Underwater Object Detection and Tracking”, IEEE Oceans’22, Chennai, India, Feb’2022.
2021
  • [50] N. Jaswanth, N. Chinmayi, R. Assfalg and H. Venkataraman, “A Progressive Review - Emerging Technologies for ADAS Driven Solutions”, IEEE Transactions on Intelligent Vehicles, October 2021.
  • [49] H. Venkataraman, “Real-Time Road Quality Indicator (RQI) for Smart Driving”, Special Issue on Smart Transportation, IEEE SmartCities eLetters, October 2021
  • [48] P. SreeHarshitha, R. Vara Prasad and H. Venkataraman, “CRIS- Central Server-based Real-Time Interconnections of Water Supply Network”, IEEE IBSSC, Jabalpur, India, November 2021.
  • [47] P. SreeHarshitha, PSS Pavan Ganesh, C. Nibhanupudi and H. Venkataraman, “A Cluster-based Architecture for Three-Hop Communication in Next Generation Wireless Networks", Journal of Institution of Engineers (India): Series B, Springer, September 2021
  • [46] N. Jaswanth, M. Aditya, P. Shuddhank and H. Venkataraman, “Route-VPlat: Survey and Analysis of Routing Protocols for Communication in Multi-hop Vehicular Platooning”, SAE Journal of Connected and Automated Vehicles (JCAV), September 2021
  • [45] N. Jaswanth, P. Mukherjee, R. Assfalg and H. Venkataraman, “Auto-Alert: A Spatial and Temporal Architecture for Driving Assistance in Road Traffic Environments”, Journal of Intelligent Transportation Systems Research, Springer, August 2021.
  • [44] PSS Pavan Ganesh and H. Venkataraman, "3D E-CRUSE: Energy-based Throughput Analysis of Three Dimensional Underwater Network using RF Communication”, Journal of Ocean Engineering and Science, Elsevier, July 2021.
  • [43] E. Likhitha, R. Vara Prasad and H. Venkataraman, “Analysis of SDN based IIoT networks Targeting Automation Processes in Smart Factory Environments”, 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT), Allahabad, India, July 2021.
2020
  • [42] D. Nair, S. Yeragunta, S. Kandaswamy and H. Venkataraman, “Assessing The Impact Of Heterogeneous Traffic On Highways Via Agent-Based Simulations”, Winter Simulation Conference (WSC), Florida, USA, 13 – 16 December 2020.
  • [41] A. Sai Charan, M. Jitesh, M. Chowdhury and H. Venkataraman, “ABIN: Attention-based Bi-Directional Modal Fusion Networks for Object Detection at Night Time”, IET Electronic Letters, doi:10.149/el.2020.1952
  • [40] PSS Pavan Ganesh and H. Venkataraman, “RF-based Wireless Communication for Shallow Water Networks: Survey and Analysis”, Wireless Personal Communications, Springer – November 2020.
  • [39] S. Dattprasad, Y.R. VaraPrasad, R. Trestian, H. Nguyen and H. Venkataraman: “CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing”, In Proceedings of Springer International Control and Networking Conference (COCONET), Chennai, India, October 2020
  • [38] P. Sree Harshitha, Y.R. VaraPrasad and H. Venkataraman: “CRAWL: Cloud based Real-time interconnections of Agricultural Water sources using LoRa”, In 8th Springer Symposium on Control, Automation, Industrial Informatics and Smart Grid Communication, Control and Networking Conference (COCONET), Chennai, India, October 2020
  • [37] PSS Pavan Ganesh and H. Venkataraman, “E-CRUSE: Energy-Based Throughput Analysis for Cluster- Based RF Shallow Underwater Communication”, IET Communications, Vol. 14, No. 15, pp. 2544–2553, September 2020.
  • [36] N. Jaswanth and H. Venkataraman, “Neighborhood Discovery for Autonomous Driving in Connected and Non-Connected Vehicles”, Tutorial Talk, IEEE 5G World Forum, Bangalore, India, September 2020.
  • [35] N. Jaswanth, K.P. Anjali and H. Venkataraman, “Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning”, 10th IEEE International Conference on Advanced Computer Information Technologies (ACIT), IEEE, pp. 811-814, Deggendorf, Germany, 16-18 September 2020.
  • [34] J.S. Sunil, S.K. Manasa, Y.R. Vara Prasad and H. Venkataraman, “Advisory Framework to Interconnect Distributed Water Bodies Targeting Agriculture Farms” 10th IEEE Conference on Advanced Computer Information Technologies (ACIT), pp. 863-866, Deggendorf, Germany, 16-18 September 2020.
  • [33] N. Jaswanth, C. Nagpal and H. Venkataraman, “Resource Allocation Complexity Analysis for Relay- based Multihop V2V Communication”, IEEE 3rd 5G World Forum (5GWF), IEEE, pp. 199-204, 10-12 September 2020, Bangalore, India.
  • [32] H. Venkataraman and K. Harshini, “Dual Priority: A Real-Time and Integrated Device-and-Network-centric Wireless Network Selection”, IET Communications, Vol. 14, No. 10, pp. 1588 – 1594, June 2020
  • [31] A. Sai Charan, S.V. Jallepalli and H. Venkataraman, “Road Parameter-based Driver Assistance System for Safe Driving”, SAE Journal of Connected and Automated Vehicles (JCAV), 2(4), pp. 253-262, Jan. 2020
  • [30] K. Maheswari, Ch. Mounika, K. Harshitha and H. Venkataraman, “Potsense: Pothole Detection on Indian Roads using Smartphone Sensors”, ACM Autonomous and Intelligent Mobile Systems (AIMS), IEEE/ACM COMSNETS, 8-11 Jan. 2020, Bangalore, India.
  • [29] N. Jaswanth, A. Poornima and H. Venkataraman, "Perceptual Modelling of Unconstrained RoadTraffic Scenarios with Deep Learning", IEEE ACIT, Munich, Germany,2020
2019
  • [28] Sai Charan, Sowmya V, and H.Venkataraman, “Road Parameter-based Driver Assistance System for Safe Driving”, SAE International Journal of Connected and Automated Vehicles, 2 (4): 253-262, Dec 2019.
  • [27] V.K. Repala and S.R. Dubey, "Dual CNN Models forUnsupervised Monocular Depth Estimation", 8th InternationalConference on Pattern Recognition and Machine Intelligence (PReMI), India, Dec 2019. (Springer)
  • [26] Sai Charan, N Jaswanth, R. Assfalg,and H. Venkataraman, “Analysis of Traffic Related Factors and Vehicle Environment in Monitoring Driver’s Driveability”, International Journal of Intelligent Transportation Systems Research, Springer, pp. 1-11, Aug 2019.
  • [25] K. Maheswari, Ch. Mounica, K.Harshitha, and H. Venkataraman, “Sensor Fusion-based pothole detection in Indian roads”, Poster, 3rd Intl. Symposium on Cyber Physical Systems, IISc Bangalore, 15 - 16 July 2019.
  • [24] H. Venkataraman, S. Narayanaswamy, and S. Chakraborty, “Real-Time PotholeDetection”, SAE Mobility Engineering Magazine, Vol. 6, No. 2, June 2019.
  • [23] Sai Charan, R. Assfalg, and H. Venkataraman, “Integration of Head & Eye-Tracking for Driver Monitoring in Vehicular Environment”, 15thWorld Conference on Transport Research (WCTR), Mumbai, India, 29 - 31 May2019.
  • [22] PSS Pavan Ganesh and H. Venkataraman, “RF-based multi-hop wireless Communication for shallow underwater environment”, IEEE International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), pp. 222–228, March 2019.
2018
  • [21] H. Venkataraman M. Madhuri and R. Assfalg, “Deriving Pattern in Driver's Observability during Road Turns and Traffic Lights: An Eye-Tracking based Analysis”, in: Proc of C3VP Workshop, 24th ACM MobiCom, New Delhi, India, 29 Oct - 2 Nov 2018.
  • [20] A. K. Prakash and H. Venkataraman, “Technological Challenges in Autonomous Driving”, C3VP, 24th International ACM MobiCom, New Delhi, India, 29 Oct - 2 Nov 2018.
  • [19] N. Jaswanth and H. Venkataraman, “Lane Change for System Driven Vehicles using Dynamic Information," C3VP Workshop, 24th International ACM MobiCom, New Delhi, India, 29 October - 2 November 2018.
  • [18] B. Vamshi and R. V. Prasad, "Dynamic route planning framework for minimal air pollution exposure in urban road transportation systems", IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 2018,pp. 540-545.
  • [17] A. Surekha and H. Venkataraman, “An Adaptive Clustering Technique based on Image-based Traffic Identification for Real-Time V2V Communication”, in: Proc of IEEE Vehicular Technology Communication (VTC), Porto, Portugal 3 - 6 June 2018.
2017
  • [16] H. Venkataraman (Ed.), R. Trestian (Ed.). (2017). 5G Radio Access Networks. Boca Raton: CRC Press, https://doi.org/10.1201/9781315230870
  • [15] B. Sravya and H. Venkataraman, “Software-Defined Networking in the World of C-RAN”, Chapter 7, 5G Radio Access Networks, CRC Press, 2017.
  • [14] H. Venkataraman, T. Bi. T. Wu, I. Ghergulouscu and G.M. Muntean, "DE-BAR: Device Energy-centric Backlight and Adaptive Region of Interest Mechanism for Wireless Mobile Devices", Springer Wireless Personal Communications, Nov 2017.
  • [13] H. Venkataraman, N. Fernando and V. Sundar, "What about Framework for Coastal Smart Cities", International Journal of Integrative Risk and Security Research, Vol. 2, Nov 2017
  • [12] K.K.S. Bharadwaj and H. Venkataraman, "Performance Analysis of Network-Coding for M2M Communications", IEEE Advanced Intelligent Mechatronics (AIM), Munich, Germany, 3 - 7 July 2017.
  • [11] H. Venkataraman and R. Assfalg, "Driver Performance Detection and Recommendation System in Vehicular Environment using Video Streaming Analytics", IEEE Advanced Intelligent Mechatronics (AIM), Munich, Germany, 3 - 7 July 2017.
  • [10] A. Surekha, A. Reganti and H. Venkataraman, "Two-Step Clustering Mechanism for Communication in Less-Disciplined Traffic", International Conference on Cyber-Physical Systems, IISc Bangalore, 18 - 19 July 2017.
  • [9] P. Monica, K. Vamsi Krishna, SR Pandian and H. Venkataraman, "Intelligent Communication between Autonomous Surface Vehicles", International Conference on Cyber-Physical Systems, IISc Bangalore, 18 - 19 July 2017.
  • [8] A. Sai Charan and H. Venkataraman, "Greening the economy: A review of urban sustainability measures for developing new cities", Elsevier Journal of Sustainable Cities and Society, Vol. 32, pp. 1 - 7, July 2017.
  • [7] H. Venkataraman, A. Dutta and A. Joshi, "Add-net: adaptive dichotomy based network-centric cellular to Wi-Fi offloading", IET Communications, Vol. 11, No. 3, pp. 318-325, Feb 2017.
2016
  • [6] B. Vinodh, A. Sai Charan, R. Assfalg and H. Venkataraman, "Analysis of Region of Interest (RoI) of Multimedia Content using Eye-Tracker", 17th ACM International Conference on Mobile Adhoc Networking and Computing (ACM MobiHOC), Poster Presentation, 6-8 July 2016, Paderborn, Germany.
  • [5] MNV Sneha, Vamsi Krishna and H. Venkataraman, "Adaptive Non-Binary Classification for Network Centric Handover in Heterogeneous Networks", 17th ACM International Conference on Mobile Adhoc Networking and Computing (ACM MobiHOC), Poster Presentation, 6-8 July 2016, Paderborn, Germany.
  • [3] N. Chidara, C. Nibhanupudi and H. Venkataraman, "Integration of Different Cryptographic Techniques for Real-Time V2V Communication", 17th ACM International Conference on Mobile Adhoc Networking and Computing (ACM MobiHOC), Poster Presentation, 6-8 July 2016, Paderborn, Germany.
  • [2] Venkataraman, H., Wang, S., & Muntean, G.-M. (2015). EDAS: Energy-efficient device-based adaptive cross-layer scheme for wireless multimedia transmission. In 18th IEEE international conference on wireless personal and multimedia communications (WPMC), December 13–16, 2015.
  • [1] Venkataraman, H., Wu, T., Bi, T., & Muntean, G.-M. (2015). DEAR: An energy-centric adaptive region-of-interest mechanism for mobile devices. In 18th IEEE international conference on wireless personal and multimedia communications (WPMC), December 13–16, 2015.

 

Patents/Trademark
  • H. Venkataraman and "AnjaliPoornima K, "System and Method to Detect Potholes and Obstacles on Road under Low Illumination", Indian Patent, filed on 19th Nov 2019, Granted on 14th March 2024.
  • H. Venkataraman, N Jaswanth, Manohari Sai, Vishnu Vamsi, "System for Indicating Road Quality Index and Method Thereof", filed on 4th June 2022, Granted on 2nd Feb. 2024.
  • H. Venkataraman, IIIT Sri City, “Auto-Navigation of Autonomous Underwater Vehicle”, Indian Patent, July 2022, Application No: 202241045253, Status: Published and under Review.
  • H. Venkataraman, IIIT Sri City, “A H. Venkataraman, IIIT Sri City, “A System for the Assessment of Road Quality", Indian Patent, June 2022, Application No: 202241046877, Status: Published and under Review.
  • H. Venkataraman, IIIT Sri City, “An Autonomous Underwater Vehicle of H-Configuration”, Indian Patent, published, June 2022, Application No: 202241032605.
  • D. Adithya, N. Jaswanth and H. Venkataraman, "Visual Anomaly Inspection and Mechanism for Digital Twin with Robotic Arm", Indian patent, filed on 17th August 2021
  • H. Venkataraman, Raja Vara Prasad, Agraj Khare and Pavan. Y, "Method for predicting Upcoming Delays in Manufacturing Process and System Thereof", Indian patent, filed in July 2021, Status: Published and under Review.
  • IIIT Sri City and H. Venkataraman, "Intellomotive:Next Generation Smart Transportation", Trademark, Granted on 26th March 2020
  • H. Venkataraman and S.V. Jallepalli, "System and Method for Real-Time Control of Speed and Position", Indian patent, filed on 16th Dec. 2019, Status: Published and under Review.

 

Deployments
  • Tirupati: Based on request from Tirupati Traffic Control Room in the state of Andhra Pradesh, India, a near-real-time traffic classification mechanism has been developed to indicate the number of vehicles in each of the 4 categories - Bike/scooter, Auto, Cars, Heavy vehicles. A first-of-its-kind vehicle monitoring and classification for an Indian city.

 

"SIDDI - Indian Road Traffic Data-Set: "

SIDDI: The team led by Dr. Hrishikesh Venkataraman STRG@IIIT Sri City has initiated a project called SIDDI (STRC@IIITS, Driving Dataset for India) and has been collecting India specific data-set across different small towns and outskirts parts of south India (Sri City, Sullurpeta, Kalahasthi), particularly focusing on bad roads, rural and semi-urban traffic. We have collected several hours of video and hundreds of images that give information on lane marking, visibility of lane, potholes, typical Indian driving patterns in rural and semi-urban areas, etc. Importantly, for the first time, this work has been collecting data on the driver’s eyes and focus while driving, commonly called in-vehicle data-set. In addition, the SIDDI team has also been collecting large-scale dataset for measuring the out-vehicle scenarios; and also done annotation for some of the captured data.

The SIDDI team considers it as a humble opportunity to make this data freely available to the public for further investigation and testing their developed techniques. The data is available to anybody at:

https://drive.google.com/drive/folders/1roseEnOTW7dPQ_dtyIUZb5bVYuCyiRKW?usp=sharing

Further, if you need any assistance on SIDDI project, kindly contact Dr. Hrishikesh Venkataraman at hvraman@iiits.in

Smart Transportation Research Group

Objective

Smart Transportation involve an amalgamation of transportation systems, traffic control systems, traffic safety systems and other automated applications related to transportation technology. Traffic control applications include toll collections, congestion control and on-board multimedia/information systems. Traffic safety applications include automatic speed control, lane changing and merging, collision warning, blind spot warning and dynamic route changers. Automobile companies have been aggressively looking for solutions such as driver-less cars, and to begin with system assisted driving.

The Smart Transportation Group is focused on the research and development of automobiles, which employ automobile-to-automobile communication, automobile-to-environment communication in real-time, in-automobile detection, out-automobile detection and real-time recommendation required for system assisted driving. The research encompasses the following focus areas:

  • V2V and V2I Communication
  • Underwater Vehicles / UAV
  • IoT / Sensors for ADAS
  • Co-operative Autonomy
  • Computer Vision
  • Machine Learning / Deep Learning

The research produced by the Smart Transportation Research Group will have a significant impact on the automobile industry, car electronic manufacturers, Ministry of Urban Development and National Highway Authority of India.

Faculty
No Name of Faculty Area of Specialization
1. Dr. Hrishikesh Venkataraman

hvraman@iiits.in

 Multihop Vehicular Communication, ADAS, Underwater Autonomous Vehicle
2. Dr. Raja Vara Prasad

yrv.prasad@iiits.in

 Sensor-based data, Driver detection
3. Dr. Subu Kandaswamy

subu.k@iiits.in

 Agent based Modelling, Co-operative Autonomy
Sponsored Projects
No Title PI and Co-PIs Duration Amount (Rs.) Funding Agency
1 Road Quality Indicator (RQI) for Heterogeneous Nature of Indian Roads CV Jawahar
S. Anbumani
H. Venkataraman		 July 2021 to July 2022 9.04 Lakhs i-HUB, IIIT Hyderabad
2 Design and Development of Bio-inspired Network of AutonomousUnderwater Vehicles Dr. Hrishikesh Venkataraman 2020 - 2022 46,88,605 Naval Research Board (NRB)
3 Camera-based Lane and Road Boundary Detection during Night-Time Driving Dr. Hrishikesh Venkataraman 2018-2021 16,81,000 Hella Automotive Pvt Ltd
4 Seamless Multihop Communication for Road Traffic Control inVehicular Networks (Smart-VAN) Dr. Hrishikesh Venkataraman 2017-20 12,19,000 DST SERB ECR
5 Driver’s drivability measurements and recommendations for adaptivesystem control in vehicles (Smart-vehicle) Dr. Hrishikesh Venkataraman and
Dr. Rolf Assfalg (DHBW, Germany)		 2016-19 10,26,000 DST - DAAD
Publications
2021
  • H. Venkataraman, “Real-Time Road Quality Indicator (RQI) for Smart Driving”, Special Issue on Smart Transportation, IEEE SmartCities eLetters, October 2021
  • N. Jaswanth, N. Chinmayi, R. Assfalg and H. Venkataraman, “A Progressive Review - Emerging Technologies for ADAS Driven Solutions”, IEEE Transactions on Intelligent Vehicles, October 2021.
  • N. Jaswanth, M. Aditya, P. Shuddhank and H. Venkataraman, “Route-VPlat: Survey and Analysis of Routing Protocols for Communication in Multi-hop Vehicular Platooning”, SAE Journal of Connected and Automated Vehicles (JCAV), September 2021
  • N. Jaswanth, P. Mukherjee, R. Assfalg and H. Venkataraman, “Auto-Alert: A Spatial and Temporal Architecture for Driving Assistance in Road Traffic Environments”, Journal of Intelligent Transportation Systems Research, Springer, August 2021.
2020
  • N. Jaswanth, C. Nagpal and H. Venkataraman, “Resource Allocation Complexity Analysis for Relay-based Multihop V2V Communication”, IEEE 5G World Forum Conference, Bangalore, India Bangalore, India, 10-12 September 2020 (held in Virtual mode).
  • N. Jaswanth and H. Venkataraman, “Neighborhood Discovery for Autonomous Driving in Connected and Non-Connected Vehicles”, Tutorial Talk, IEEE 5G World Forum, Bangalore, India, September 2020.
  • D. Nair, S. Yeragunta, S. Kandaswamy and H. Venkataraman, "Assessing the Impact of Heterogeneous Traffic on Highways via Agent based Simulations", Winter Simulation Conference (WSC), Florida, USA, 13 - 16 December 2020
  • A. Sai Charan, M. Jitesh, M. Chowdhury and H. Venkataraman, "ABIN: Attention based Bi-Directional Modal Fusion Networks for Object Detection at Night Time", IET Electronic Letters, doi: 10.149/el.2020.1952
  • N. Jaswanth, A. Poornima and H. Venkataraman, "Perceptual Modelling of Unconstrained RoadTraffic Scenarios with Deep Learning", IEEE ACIT, Munich, Germany,2020
  • K. Maheshwari, Ch. Mounika, K.Harshitha, and H. Venkataraman, “PotSense:Pothole Detection on Indian Roads using Smartphone Sensors”, ACM Autonomous and Intelligent Mobile Systems (AIMS), COMSNETS, 8 - 11 Jan 2020.
2019
  • Sai Charan, Sowmya V, and H.Venkataraman, “Road Parameter-based Driver Assistance System for Safe Driving”, SAE International Journal of Connected and Automated Vehicles, 2 (4): 253-262, Dec 2019.
  • V.K. Repala and S.R. Dubey, "Dual CNN Models forUnsupervised Monocular Depth Estimation", 8th InternationalConference on Pattern Recognition and Machine Intelligence (PReMI), India, Dec 2019. (Springer)
  • Sai Charan, N Jaswanth, R. Assfalg,and H. Venkataraman, “Analysis ofTraffic Related Factors and Vehicle Environment in Monitoring Driver’s Driveability”, International Journal of Intelligent Transportation Systems Research, Springer, pp. 1-11, Aug 2019.
  • K. Maheswari, Ch. Mounica, K.Harshitha, and H. Venkataraman, “Sensorfusion-based pothole detection in Indian roads”, Poster, 3rd Intl. Symposium on Cyber Physical Systems, IISc Bangalore, 15 - 16 July 2019.
  • H. Venkataraman, S. Narayanaswamy, and S. Chakaraborty, “Real-Time PotholeDetection”, SAE Mobility Engineering Magazine, Vol. 6, No. 2, June 2019.
  • Sai Charan, R. Assfalg, and H. Venkataraman, “Integration of Head & Eye-Tracking for Driver Monitoring in Vehicular Environment”, 15thWorld Conference on Transport Research (WCTR), Mumbai, India, 29 - 31 May2019.
2018
  • A.K. Prakash and H. Venkataraman, “Technological Challenges in Autonomous Driving”, C3VP, 24th International ACM MobiCom, New Delhi, India, 29 th Oct - 2 nd Nov 2018.
  • H. Venkataraman, M. Madhuri and R. Assfalg, “Deriving Pattern in Driver’s Observability in Road Turns & Traffic Lights: Eye-Tracking based Analysis”, C3VP Workshop, 24th International ACM MobiCom, New Delhi, India, 29 October -2 November 2018.
  • N. Jaswanth and H. Venkataraman, “Lane Change for System Driven Vehicles using Dynamic Information”, C3VP Workshop, 24th International ACM MobiCom, New Delhi, India, 29 October - 2 November 2018.
  • B. Vamshi and R. V. Prasad, "Dynamic route planning framework for minimal air pollution exposure in urban road transportation systems", IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 2018,pp. 540-545.
  • Surekha and H. Venkataraman, “An Adaptive Clustering Technique Based onImage-Based Traffic Identification for Real-Time V2V Communication”, 87 th IEEE Vehicular Technology Conference (VTC), Porto, Portugal, June 2018.
2017
  • H. Venkataraman and R. Assfalg, “Driver Performance Detection &Recommender System for Vehicular Environment using Video Streaming Analytics” TUTORIAL TALK, IEEE Advanced Intelligent Mechatronics (AIM), Munich, Germany, July 2017.
  • Sai Charan Addanki and H. Venkataraman, “Greening the Economy: A Review of Urban Sustainability Measures for Developing NewCities”, Journal of Sustainable Cities and Society, Elsevier, Vol. 32,pp. 1-8, July 2017
2016
  • B.Vinodh, A. SaiCharan, R. Assfalg and H. Venkataraman, "Analysis of Region of Interest (RoI) of Multimedia Content using Eye-Tracker", 17th ACM International Conference on Mobile Adhoc Networking and Computing (ACM MobiHOC), Poster Presentation, 6-8 July 2016, Paderborn, Germany.

 

Patents/Trademark
  • H. Venkataraman, N. Jaswanth, Vishnu Vamsi and Manohar Sai, "System for Indicating Road Quality Index and method Thereof", Indian patent, filed on 4th June 2021
  • D. Adithya, N. Jaswanth and H. Venkataraman, "Visual Anomaly Inspection and Mechanism for Digital Twin with Robotic Arm", Indian patent, filed on 17th August 2021
  • IIIT Sri City and H. Venkataraman, "Intellomotive:Next Generation Smart Transportation", Trademark, Granted on 26th March 2020
  • H. Venkataraman and S.V. Jallepalli, "System and Method for Real-Time Control of Speed and Position", Indian patent, filed on 16th Dec. 2019.
  • H.Venkataraman and Anjali Poornima, "System and Method to Detect Potholes and Obstacles on Road under Low Illumination", Indian patent, filed on 19th Nov. 2019

 

Deployments
  • Pune City: A prototype of a camera-based lane detection and road boundary detection during night-time driving is demonstrated to Hella Automotive Pvt Ltd.
  • Tirupati: Based on request from Tirupati Traffic Control Room in the state of Andhra Pradesh, India, a near-real-time traffic classification mechanism has been developed to indicate the number of vehicles in each of the 4 categories - Bike/scooter, Auto, Cars, Heavy vehicles. A first-of-its-kind vehicle monitoring and classification for an Indian city.

 

"SIDDI - Indian Road Traffic Data-Set: "

SIDDI: The team led by Dr. Hrishikesh Venkataraman STRG@IIIT Sri City has initiated a project called SIDDI (STRC@IIITS, Driving Dataset for India) and has been collecting India specific data-set across different small towns and outskirts parts of south India (Sri City, Sullurpeta, Kalahasthi), particularly focusing on bad roads, rural and semi-urban traffic. We have collected several hours of video and hundreds of images that give information on lane marking, visibility of lane, potholes, typical Indian driving patterns in rural and semi-urban areas, etc. Importantly, for the first time, this work has been collecting data on the driver’s eyes and focus while driving, commonly called in-vehicle data-set. In addition, the SIDDI team has also been collecting large-scale dataset for measuring the out-vehicle scenarios; and also done annotation for some of the captured data.

The SIDDI team considers it as a humble opportunity to make this data freely available to the public for further investigation and testing their developed techniques. The data is available to anybody at:

https://drive.google.com/drive/folders/1roseEnOTW7dPQ_dtyIUZb5bVYuCyiRKW?usp=sharing

Further, if you need any assistance on SIDDI project, kindly contact Dr. Hrishikesh Venkataraman at hvraman@iiits.in