8 citations · 47 across the 25 of their papers we have counts for
7 papers · 2 filters
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
Xinyu Zhang, Li Wang, Jian Chen +11
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental perception compared to widely adopted cameras and LiDARs. Compared with commonly used 3D r…
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS
Li Wang, Xinyu Zhang, Fachuan Zhao +6
Non-maximum suppression (NMS) is an essential post-processing module used in many 3D object detection frameworks to remove overlapping candidate bounding boxes. However, an overrel…
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
Lei Yang, Jiaxin Yu, Xinyu Zhang +6
Although the majority of recent autonomous driving systems concentrate on developing perception methods based on ego-vehicle sensors, there is an overlooked alternative approach th…
BEVHeight++: Toward Robust Visual Centric 3D Object Detection
Lei Yang, Tao Tang, Jun Li +6
While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Yan Gong, Xinyu Zhang, Hao Liu +7
Multi-modal fusion is increasingly being used for autonomous driving tasks, as different modalities provide unique information for feature extraction. However, the existing two-str…
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5
Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
Lei Yang, Kaicheng Yu, Tao Tang +5
While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…