自动驾驶之心项目与论文辅导来了~

Core Viewpoint - The article announces the launch of the "Heart of Autonomous Driving" project and paper guidance, aimed at assisting students facing challenges in their research and development efforts in the field of autonomous driving [1]. Group 1: Project and Guidance Overview - The project aims to provide support for students who encounter difficulties in their research, such as environmental configuration issues and debugging challenges [1]. - Last year's outcomes were positive, with several students successfully publishing papers in top conferences like CVPR and ICRA [1]. Group 2: Guidance Directions - Direction 1: Focus on multi-modal perception and computer vision, end-to-end autonomous driving, large models, and BEV perception. The guiding teacher has published over 30 papers in top AI conferences with a citation count exceeding 6000 [3]. - Direction 2: Emphasis on 3D Object Detection, Semantic Segmentation, Occupancy Prediction, and multi-task learning based on images or point clouds. The guiding teacher is a top-tier PhD with multiple publications in ECCV and CVPR [5]. - Direction 3: Concentration on end-to-end autonomous driving, OCC, BEV, and world model directions. The guiding teacher is also a top-tier PhD with contributions to several mainstream perception solutions [6]. - Direction 4: Focus on NeRF / 3D GS neural rendering and 3D reconstruction. The guiding teacher has published four CCF-A class papers, including two in CVPR and two in IEEE Transactions [7].