Lane Detection and Collision Prevention System for Automated Vehicles
Lane Detection and Collision Prevention System for Automated Vehicles
- New search for: Agrawal, Rajat
- New search for: Singh, Namrata
- New search for: Iyer, Brijesh
- New search for: Rajurkar, A. M.
- New search for: Gudivada, Venkat
- New search for: Agrawal, Rajat
- New search for: Singh, Namrata
This study gives the efficient model of the working process of lane detection and collision prevention system using computer vision and machine learning (ML) for decision-making. Lane detection technique is widely used in autonomous vehicle to keep tracking the road lanes, while collision detection is an advance feature used in intelligent vehicle to detect and prevent any type of collision. Here, we capture live video and process it to extract 3D information from the feed to detect road lanes and to detect objects for analysing the distance of it from the vehicle to prevent collisions. Collision detection and prevention is based on the object detection and recognition using ML model which is capable of detecting any objects, like vehicle, pedestrians, animals and so on.
Document information
Lane Detection and Collision Prevention System for Automated Vehicles
Advs in Intelligent Syst., Computing
2020-07-29
14 pages
Article/Chapter (Book)
Electronic Resource
English
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