Research on Target Detection Algorithms for Autonomous Vehicles Based on Deep Learning
Environmental perception is an important foundation for autonomous vehicles,and object detection is an important part of envi-ronmental perception.With the development of deep learning,the accuracy and speed of object detection algorithms based on deep learning are constantly improved,gradually becoming the mainstream algorithm.It summarizes and sorts out deep learning based object detection algorithms and their latest research progress,and divides them into four categories:image based,point cloud based,fusion based and Transformer based.Their classic algorithms are respectively introduced.Finally,the current problems in the field of object detection are summarized,and the future development trend is prospected.They provide valuable ideas for future research in this field.
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