Smart Transportation Research Group
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.
|No||Name of Faculty||Area of Specialization|
|1.||Dr. Hrishikesh Venkataraman
|Multihop Vehicular Communication, ADAS, Underwater Autonomous Vehicle|
|2.||Dr. Raja Vara Prasad
|Sensor-based data, Driver detection|
|3.||Dr. Subu Kandaswamy
|Agent based Modelling, Co-operative Autonomy|
|No||Title||PI and Co-PIs||Duration||Amount (Rs.)||Funding Agency|
|1||Road Quality Indicator (RQI) for Heterogeneous Nature of Indian Roads||CV Jawahar
|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|
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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
- 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:
Further, if you need any assistance on SIDDI project, kindly contact Dr. Hrishikesh Venkataraman at email@example.com