The project Intelligent Solutions for Road Safety through Technology and Engineering’ (iRASTE) will identify ‘grey spots’, using data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network.

Using the predictive power of Artificial Intelligence (AI) powered solutions to identify risks on the road and a collision alert system to communicate timely alerts to drivers, to enhance safety measures the Central Government launched ‘Intelligent Solutions for Road Safety through Technology and Engineering’ (iRASTE) at Nagpur. The solution 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 ‘grey spots’, which is by data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network. Grey spots are locations on roads, left unaddressed could become blackspots (locations with fatal accidents).

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) along with INAI (Applied AI Research Institute). The project consortium includes CSIR-CRRI and Nagpur Municipal Corporation with Mahindra and Intel as the industry partners.

The Hub is working to coordinate, integrate, and amplify basic and applied research in broad data-driven technologies as well as its dissemination and translation across the country. One of the primary aims is to prepare a critical resource for future use by researchers, startups, and industry, mainly in the areas of smart mobility, healthcare along with smart buildings.

Adding on to the uniqueness, iRASTE project leverages AI and technology is being applied to create practical solutions, as a blueprint for Indian conditions. While the initial rollout of iRASTE is in Nagpur, the eventual goal is to replicate the solution in other cities too. Currently, talks are on with the Telangana government to adopt the technology in a fleet of buses that ply on highways. There are further plans to extend the scope of iRASTE to Goa and Gujarat also.

i-Hub Foundation has also used techniques ranging from machine learning, computer vision and computational sensing for several other data-driven technological solutions in the mobility sector. One such solution is the India Driving Dataset (IDD), a dataset for road scene understanding in unstructured environments captured from Indian roads, which stands out by deviating from the worldwide assumptions of well-delineated infrastructure such as lanes, limited traffic participants, low variation in the object or background appearance and strong adherence to traffic rules.

In order to help local self-government institutions, employ suitable rejuvenation methods in tree starved streets, i-Hub Foundation designed a framework for street tree detection, counting and visualization that uses object detectors and a matching counting algorithm. The work has paved way for a quick, accurate, and inexpensive way to recognize tree-starved streets.

 

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