31 citations · 42 across the 9 of their papers we have counts for
9 papers
RLPR: Radar-to-LiDAR Place Recognition via Two-Stage Asymmetric Cross-Modal Alignment for Autonomous Driving
Zhangshuo Qi, Jingyi Xu, Luqi Cheng +2
All-weather autonomy is critical for autonomous driving, which necessitates reliable localization across diverse scenarios. While LiDAR place recognition is widely deployed for thi…
UniMPR: A Unified Framework for Multimodal Place Recognition with Heterogeneous Sensor Configurations
Zhangshuo Qi, Jingyi Xu, Luqi Cheng +3
Place recognition is a critical component of autonomous vehicles and robotics, enabling global localization in GPS-denied environments. Recent advances have spurred significant int…
LT-Gaussian: Long-Term Map Update Using 3D Gaussian Splatting for Autonomous Driving
Luqi Cheng, Zhangshuo Qi, Zijie Zhou +2
Maps play an important role in autonomous driving systems. The recently proposed 3D Gaussian Splatting (3D-GS) produces rendering-quality explicit scene reconstruction results, dem…
LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place Recognition
Zhangshuo Qi, Luqi Cheng, Zijie Zhou +1
In autonomous driving, place recognition is critical for global localization in GPS-denied environments. LiDAR and radar-based place recognition methods have garnered increasing at…
SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation
Zijie Zhou, Zhangshuo Qi, Luqi Cheng +1
Robust and accurate localization is critical for autonomous driving. Traditional GNSS-based localization methods suffer from signal occlusion and multipath effects in urban environ…
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving
Zhangshuo Qi, Junyi Ma, Jingyi Xu +3
Place recognition is a crucial component that enables autonomous vehicles to obtain localization results in GPS-denied environments. In recent years, multimodal place recognition m…
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving Environments
Xiuzhong Hu, Guangming Xiong, Zheng Zang +3
Large-scale 3D scene reconstruction and novel view synthesis are vital for autonomous vehicles, especially utilizing temporally sparse LiDAR frames. However, conventional explicit…
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
Zijie Zhou, Jingyi Xu, Guangming Xiong +1
Place recognition is one of the most crucial modules for autonomous vehicles to identify places that were previously visited in GPS-invalid environments. Sensor fusion is considere…
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving Environments
Xiuzhong Hu, Guangming Xiong, Zheng Zang +3
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. Although the recently developed neural radiance fields (NeRF…