视觉与机器人

自动驾驶

自动驾驶感知、规划、BEV、占用预测、激光雷达和仿真评测。

2025-07-23 至 2025-07-23 共收录 4 篇信号源：cs.RO, cs.CV, eess.IV, cs.AI

1. 感知 4 篇

2507.04123 2025-07-23 cs.CV cs.AI 81%

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge

Linshen Liu, Boyan Su, Junyue Jiang, Guanlin Wu, Cong Guo, Ceyu Xu, Hao Frank Yang

机构 * Johns Hopkins University（约翰霍普金斯大学）； Duke University（杜克大学）； HKUST（香港科技大学）

专题命中感知：autonomous driving(title)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Accepted at ICCV 2025

2507.16413 2025-07-23 cs.CV cs.ET 74%

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox

Xavier Diaz, Gianluca D'Amico, Raul Dominguez-Sanchez, Federico Nesti, Max Ronecker, Giorgio Buttazzo

机构 * Mobility Technologies（移动技术）； Department of Excellence in Robotics & AI, SETLabs Research GmbH（机器人与人工智能卓越部门，SETLabs Research GmbH）； Scuola Superiore Sant’Anna（圣安娜高等学院）

专题命中感知：LiDAR(title)；分类 cs.CV

Comments IEEE International Conference on Intelligent Rail Transportation (ICIRT) 2025

2504.05119 2025-07-23 cs.LG cs.AI cs.AR cs.CV eess.IV 67%

Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

机构 * Department of Electronics Technology, University of the Basque Country (UPV/EHU)（电子技术系，巴斯克国家大学（UPV/EHU））； Department of Electricity and Electronics, University of the Basque Country (UPV/EHU)（电力与电子系，巴斯克国家大学（UPV/EHU））

专题命中感知：autonomous driving(abstract)；分类 cs.CV、eess.IV、cs.AI

2504.20041 2025-07-23 cs.CV 57%

Learning Streaming Video Representation via Multitask Training

Yibin Yan, Jilan Xu, Shangzhe Di, Yikun Liu, Yudi Shi, Qirui Chen, Zeqian Li, Yifei Huang, Weidi Xie

机构 * School of Artificial Intelligence, Shanghai Jiao Tong University（上海交通大学人工智能学院）； Shanghai Innovation Institute（上海创新研究院）； Fudan University（复旦大学）； Shanghai AI Laboratory（上海人工智能实验室）

专题命中感知：autonomous driving(abstract)；分类 cs.CV

Comments Technical Report. Project Page: https://go2heart.github.io/streamformer