31 citations · 31 across the 3 of their papers we have counts for
6 papers
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…
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…
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…