(BEVWorld:基于统一BEV潜伏空间的自动驾驶多模态世界模型) 论文地址:[2407.05679] BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space (arxiv.org) Abstract 世界模型因其对未来潜在场景的预测能力而在自动驾驶领域受到越来越多的关注。在本文中,我们提出了BEVWorld,这是一种新...
nuScenes: A multimodal dataset for autonomous driving Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom nuTonomy: an APTIV company nuscenes@nutonomy.com Abstract Robust detection and tr...
Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom, “nuscenes: A multimodal dataset for autonomous driving,” inProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 11621–11631, 2020.
Autonomous Driving: Radar Sensor Noise Filtering and Multimodal Sensor Fusion for Object Detection with Artificial Neural Networks For the entire work, real data from state-of-the-art sensors are being used. The results are evaluated on the publicly available nuScenes dataset. The... M Weber 被引...
Autonomous driving, in recent years, has been receiving increasing attention for its potential to relieve drivers’ burdens and improve the safety of
Beijbom, “nuscenes: A multimodal dataset for autonomous driving,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020, pp. 11 621–11 631. [17] P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou...
unprecedented opportunities for researchers in the autonomous driving field and beyond. With this dataset, we will contribute to the field of traffic psychology and behavior. Similar content being viewed by others A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving ...
Whether it’s scenarios like autonomous driving, robot navigation and manipulation, hazard detection in industrial settings, or support and guidance for mixed-reality tasks, progress in physical activities has been slower and more incremental compared with their fully d...
最新综述:3D Object Detection for Autonomous Driving: A Survey 链接:https://arxiv.org/pdf/2106.10823.pdf 根据输入传感器信号类型,自动驾驶三维目标检测算法可以分为:基于图像的算法、基于激光点云的算法和基于多模态融合的算法。 1.1.1基于图像的三维场景感知 ...
, Multimodal behavior therapy. Springer, 1976. [64] D. Feng, C. Haase-Sch¨utz, L. Rosenbaum, H. Hertlein, C. Glaeser, F. Timm, W. Wiesbeck, and K. Dietmayer, “Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,”...