LiDAR for Object Detection in Self Driving Cars

Self-driving cars are the major invention in vehicular automation. These cars use sensors to perceive the surrounding and control them accordingly. Object detection becomes a major task in these driverless cars. In this study, utilization of LiDAR to automatically control speed, braking, and safety systems in response to sudden changes in traffic conditions is presented. The aim of this study is to do precise and quick object detection for LiDAR-based self-driving cars. This work proposes image processing to be used to identify and differentiate similar-looking objects so that carefully calculated driving decisions can be taken.