The project ‘Intelligent Solutions for Road Safety through Technology and Engineering’ (iRASTE) is being implemented in Nagpur City with an objective of resulting in a significant reduction of accidents.
Key Highlights of iRASTE
- It is a unique AI approach that uses the predictive power of AI to identify risks on the road, and a collision alert system to communicate timely alerts to drivers, to make several improvements related to road safety.
- It will identify potential accident-causing scenarios while driving a vehicle and alert drivers about the same with the help of the Advance Driver Assistance System (ADAS).
- The project will also identify ‘greyspots’, i.e., by data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network.
- Greyspots are locations on roads, which left unaddressed could become blackspots (locations with fatal accidents).
- The system also conducts continuous monitoring of roads and designs engineering fixes to correct existing road blackspots for preventive maintenance and improved road infrastructure.
- The iRASTE project is under by the I-Hub Foundation, IIIT Hyderabad, a Technology Innovation Hub (TIH) set up in the technology vertical- Data Banks & Data Services supported by the Department of Science and Technology (DST) under its National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS).
- LaneRoadNet (LRNet), a new framework with an integrated mechanism considering lane and road parameters using deep learning, has been designed to address problems of Indian roads.
- Another dataset called Open World Object Detection on Road Scenes (ORDER) has also been developed using the India Driving Dataset
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