7 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…
VGGT-MPR: VGGT-Enhanced Multimodal Place Recognition in Autonomous Driving Environments
Jingyi Xu, Zhangshuo Qi, Zhongmiao Yan +5
In autonomous driving, robust place recognition is critical for global localization and loop closure detection. While inter-modality fusion of camera and LiDAR data in multimodal p…
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…
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…
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…
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…