4 citations · 8 across the 42 of their papers we have counts for
11 papers · 1 filter
Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting
Jingyi Xu, Xieyuanli Chen, Junyi Ma +4
The task of occupancy forecasting (OCF) involves utilizing past and present perception data to predict future occupancy states of autonomous vehicle surrounding environments, which…
OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance
Youqi Liao, Xieyuanli Chen, Shuhao Kang +4
OpenStreetMap (OSM), a rich and versatile source of volunteered geographic information (VGI), facilitates human self-localization and scene understanding by integrating nearby visu…
TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal
Yanpeng Jia, Ting Wang, Xieyuanli Chen +1
Simultaneous state estimation and mapping is an essential capability for mobile robots working in dynamic urban environment. The majority of existing SLAM solutions heavily rely on…
A Novel Multi-Gait Strategy for Stable and Efficient Quadruped Robot Locomotion
Daoxun Zhang, Xieyuanli Chen, Zhengyu Zhong +3
Taking inspiration from the natural gait transition mechanism of quadrupeds, devising a good gait transition strategy is important for quadruped robots to achieve energy-efficient…
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos
Junyi Ma, Xieyuanli Chen, Wentao Bao +2
Understanding human intentions and actions through egocentric videos is important on the path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand…
MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation
Jintao Cheng, Xingming Chen, Jinxin Liang +3
Effectively summarizing dense 3D point cloud data and extracting motion information of moving objects (moving object segmentation, MOS) is crucial to autonomous driving and robotic…
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework
Guanfeng Tang, Zhiyuan Wu, Jiahang Li +5
Semantic segmentation and stereo matching, respectively analogous to the ventral and dorsal streams in our human brain, are two key components of autonomous driving perception syst…
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
Neng Wang, Ruibin Guo, Chenghao Shi +5
4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous v…
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition
Qiuchi Xiang, Jintao Cheng, Jiehao Luo +4
Place recognition is the foundation for enabling autonomous systems to achieve independent decision-making and safe operations. It is also crucial in tasks such as loop closure det…
Explicit Interaction for Fusion-Based Place Recognition
Jingyi Xu, Junyi Ma, Qi Wu +4
Fusion-based place recognition is an emerging technique jointly utilizing multi-modal perception data, to recognize previously visited places in GPS-denied scenarios for robots and…
VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks
Yutong Wang, Chaoyang Jiang, Xieyuanli Chen
In recent years, object-oriented simultaneous localization and mapping (SLAM) has attracted increasing attention due to its ability to provide high-level semantic information while…