Artificial Intelligence will make Indian roadways safer to travel on | Technology

Artificial Intelligence will make Indian roadways safer to travel on | Technology
Artificial Intelligence will make Indian roadways safer to travel on

Artificial Intelligence to make roads in India safer to drive 

The Indian Ministry of Science and Technology said this unique approach uses the predictive power of AI to identify road hazards and a collision warning system to communicate timely alerts to drivers, to make various safety-related improvements. 

Artificial intelligence (AI)-powered solutions may soon make roads in India a safer place to drive.  The Indian government announced on Tuesday that an AI-powered technology could reduce the risk of road accidents in the country, which have killed more than a lakh people in 2020.

In a bid to prevent this from happening, the Indian government said the AI ​​approach will use a first-of-its-kind dataset consisting of 10,000 images.

He said that this dataset is finely annotated with 34 classes collected from 182 driving sequences on Indian roads obtained from a front-facing camera attached to a car driving through the cities of Hyderabad, Bangalore and their outskirts.

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The Indian Ministry of Science and Technology said this unique approach uses the predictive power of AI to identify road hazards and a collision warning system to communicate timely alerts to drivers, to make various safety-related improvements. 

It is being rolled out in Nagpur, Maharashtra and the government is aiming to spread it throughout India.

The project aims to reduce traffic accidents.  According to the WHO, traffic accidents kill up to 1.35 million people worldwide each year.

“The ‘Intelligent Solutions for Road Safety Through Technology and Engineering’ (iRASTE) project in Nagpur will identify possible scenarios that cause accidents while driving a vehicle and alert drivers about them with the help of the Advanced Warning System. Driver Assistance (ADAS).

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“The project will identify the ‘grey spots’, that is, through data analysis and mobility analysis by continuously monitoring dynamic risks across the entire road network,” the Indian government said.

Gray spots are locations on the roadways, if not addressed they could become black spots (fatal accident locations).

The system also performs continuous monitoring of highways and designs engineering solutions to correct black spots on existing highways for preventive maintenance and improvement of road infrastructure, government officials said.

The iRASTE project is under the I-Hub Foundation, IIIT Hyderabad, an established technology innovation hub in the vertical technology: data banks and data services, supported by the Department of Science and Technology (DST).

The I-Hub Foundation has used techniques ranging from machine learning, computer vision, and computational sensing to various other data-driven technology solutions in the mobility sector.

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One such solution is the India Driving Dataset (IDD), a dataset for road scene understanding in unstructured environments captured from Indian roads, which deviates from global assumptions of well-delineated infrastructure such as lanes, traffic participants limited traffic, low variation in object or background appearance, and strong adherence to traffic rules.

The project consortium includes CSIR-CRRI and Nagpur Municipal Corporation, with Mahindra and Intel as industry partners.

The Center is working to coordinate, integrate, and scale up basic and applied research on broad data-driven technologies, as well as their dissemination and translation across the country.

One of the main goals is to prepare a critical resource for future use by researchers, startups, and industry, primarily in the areas of smart mobility, healthcare, and smart buildings.

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“What makes the iRASTE project even more unique is that artificial intelligence and technology are being applied to create practical, model-like solutions for Indian conditions. While the initial launch of iRASTE is in Nagpur, the ultimate goal is to replicate the solution in other cities as well.

“Currently, talks are underway with the government of Telangana to adopt the technology in a fleet of buses running on highways. There are further plans to extend the reach of iRASTE to Goa and Gujarat as well,” ministry officials said.

Another dataset called Open World Object Detection in Road Scenes (ORDER) has also been developed using the Indian Driving Dataset which could be used by autonomous navigation systems in Indian driving conditions for localization and classification. of objects in a road scene.

In addition to this, a Mobility Car Data Platform (MCDP) with various sensors – cameras, LIDAR – has been designed with the necessary computation for anyone to capture or process data in the car that can help researchers and startups in India to test its automotive algorithms.  and focuses on navigation and research on Indian roads, the Indian ministry said.

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A new framework, LaneRoadNet (LRNet), with an integrated mechanism that considers lane and road parameters through deep learning, has been designed to address the problems of Indian roads, which have various obstacles, occluded lane markings, broken dividers, cracks, potholes, etc.  that puts drivers at significant risk while driving, the government said.

In this framework, a road quality score is calculated with the help of a modular scoring function.  The final score helps authorities assess road quality and prioritize road maintenance programs to improve drivability.

Source: WION News, Direct News 99

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