Published Paper Details:

Sensing is the main function of all autonomous driving and collects all the necessary information about the environment around the vehicle's movement. The decision making process uses the information needed to create strategies and make the right decision based on the situation to ensure the safety of passengers as much as possible. This article reviews recent literature on motor vehicle awareness (AVP), focusing on two main tasks: semantic segmentation and object detection. These two functions play an important role as an important part of the car navigation system. In the autonomous car, perception with point cloud semantic segmentation helps obtain a wealth of information about the surrounding road environment. Despite the massive progress of recent researches, the existing machine learning networks are still insufficient for online applications of autonomous driving due to too subdivided classes, the lack of training data, and their heavy computing load