Research on LiDAR Target Detection Technology for Inclement Weather
Autonomous driving vehicles rely on sensors to collect surrounding environment information.Li-DAR sensors can provide accurate three-dimensional spatial information of the scene and are widely used in the field of autonomous driving.However,laser beam is scattered and refracted in severe weather condi-tions(such as fog,snow or rain),resulting in a decrease in detection accuracy and changes in target detec-tion performance.Therefore,it is crucial to explore how to mitigate the degradation of LiDAR target detec-tion performance.Utilizing real-world datasets collected under such conditions,methods to simulate ad-verse weather through data augmentation techniques to generate simulation datasets are explored.By analy-zing the advantages and limitations of these methods,the key focuses and challenges for future research are identified.
万方数据
维普
