Research on Comparison of LiDAR and Camera in Autonomous Driving
Peide Wang
Abstract
Abstract With the improvement of vehicles automation, autonomous vehicles become one of the research hotspots. Key technologies of autonomous vehicles mainly include perception, decision-making, and control. Among them, the environmental perception system, which can convert the physical world’s information collection into digital signals, is the basis of the hardware architecture of autonomous vehicles. At present, there are two major schools in the field of environmental perception: camera which is dominated by computer vision and LiDAR. This paper analyzes and compares the two majors schools in the field of environmental perception and concludes that multi-sensor fusion is the solution for future autonomous driving.
Topics & Concepts
PerceptionLidarAutomationArchitectureComputer scienceField (mathematics)Sensor fusionKey (lock)Computer visionArtificial intelligenceRemote sensingHuman–computer interactionEngineeringGeographyComputer securityPsychologyMathematicsArchaeologyPure mathematicsMechanical engineeringNeuroscienceAutonomous Vehicle Technology and SafetyRobotics and Sensor-Based LocalizationRobotic Path Planning Algorithms