Z Song, L Liu, F Jia, Y Luo, C Jia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the realm of modern autonomous driving, the perception system is indispensable for accurately assessing the state of the surrounding environment, thereby enabling informed …
S Wang, Y Liu, T Wang, Y Li… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
In this paper, we propose a long-sequence modeling framework, named StreamPETR, for multi-view 3D object detection. Built upon the sparse query design in the PETR series, we …
H Liu, Y Teng, T Lu, H Wang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great attention over the past few years. Dense detectors typically follow a two-stage pipeline by …
Abstract View Transformation Module (VTM), where transformations happen between multi- view image features and Bird-Eye-View (BEV) representation, is a crucial step in camera …
H Wang, H Tang, S Shi, A Li, Z Li… - Proceedings of the …, 2023 - openaccess.thecvf.com
Jointly processing information from multiple sensors is crucial to achieving accurate and robust perception for reliable autonomous driving systems. However, current 3D perception …
In the context of autonomous driving the significance of effective feature learning is widely acknowledged. While conventional 3D self-supervised pre-training methods have shown …
In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant interest from both industry and academia due to its inherent advantages, such as providing …
Abstract We introduce Deformable Convolution v4 (DCNv4) a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the …
Z Li, Z Yu, S Lan, J Li, J Kautz, T Lu… - Proceedings of the …, 2024 - openaccess.thecvf.com
End-to-end autonomous driving recently emerged as a promising research direction to target autonomy from a full-stack perspective. Along this line many of the latest works follow …