Deep Learning Techniques for Obstacle Detection and Avoidance in Driverless Cars

Author:

Sanil Nischal,venkat Pasumarthy Ankith Naga,Rakesh V.,Mallapur Rishab,Ahmed Mohammed Riyaz

Publisher

IEEE

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic study of traffic sign recognition and obstacle detection in autonomous vehicles;International Journal of Intelligent Unmanned Systems;2024-07-02

2. An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles;Engineering Applications of Artificial Intelligence;2024-07

3. UAV-based Localization of Removable Urban Pavement Elements Through Deep Object Detection Methods;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26

4. The Research of 3D Point Cloud Data Clustering Based on MEMS Lidar for Autonomous Driving;International Journal of Automotive Technology;2024-06-21

5. Advancements, challenges, and implications for navigating the autonomous vehicle revolution;J MECH ENG SCI;2024

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