object-detection-of-self-driving-vehicles
PublicAutonomous vehicles offer a promising solution to safer driving through monitoring and utilizing real-time sensing data. Information collected from different sensors, including LiDAR's, ultrasonic sensors, cameras, radars, and GPS, can be processed, and analyzed to operate the vehicle. Computer vision played an essential role in advancing this technology, especially object detection, which aims to locate and classify objects in a scene. This paper will discuss autonomous vehicle technology and investigate the different object detection, neural network models, architecture, and performance.
Creat：2022-05-09T12:06:52
Update：2024-10-20T00:20:54
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