26 citations · 28 across the 11 of their papers we have counts for
14 papers
DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests
Xin Zhao, Jianping Li, Qin Zou +3
Accurate forest inventory and large-scale mapping are essential for ecosystem monitoring and sustainable forest management. Multiple low-cost edge platforms enable efficient large-…
Aerial-ground LiDAR place recognition with patch-level self-supervised learning and expanded reciprocal re-ranking
Yandi Yang, Xianghong Zou, Jianping Li +4
LiDAR place recognition determines one's position on a prior point cloud map. The most studied ground-level LiDAR place recognition suffers from pre-visit requirements, incomplete…
TOL: Textual Localization with OpenStreetMap
Youqi Liao, Shuhao Kang, Jingyu Xu +6
Natural language provides an intuitive way to express spatial intent in geospatial applications. While existing localization methods often rely on dense point cloud maps or high-re…
AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction
Yizhe Zhang, Jianping Li, Liangliang Yin +2
Human-in-the-loop (HITL) UAV operation is essential in complex and safety-critical aerial surveying environments, where human operators provide navigation intent while onboard auto…
WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
Xianghong Zou, Jianping Li, Yandi Yang +4
Point Cloud-based Place Recognition (PCPR) demonstrates considerable potential in applications such as autonomous driving, robot localization and navigation, and map update. In pra…
Aerial-ground Cross-modal Localization: Dataset, Ground-truth, and Benchmark
Yandi Yang, Jianping Li, Youqi Liao +5
Accurate visual localization in dense urban environments poses a fundamental task in photogrammetry, geospatial information science, and robotics. While imagery is a low-cost and w…
LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
Xianghong Zou, Jianping Li, Zhe Chen +4
Point cloud place recognition (PCPR) determines the geo-location within a prebuilt map and plays a crucial role in geoscience and robotics applications such as autonomous driving,…
ARMOR: Adaptive Meshing with Reinforcement Optimization for Real-time 3D Monitoring in Unexposed Scenes
Yizhe Zhang, Jianping Li, Xin Zhao +3
Unexposed environments, such as lava tubes, mines, and tunnels, are among the most complex yet strategically significant domains for scientific exploration and infrastructure devel…
SaliencyI2PLoc: saliency-guided image-point cloud localization using contrastive learning
Yuhao Li, Jianping Li, Zhen Dong +2
Image to point cloud global localization is crucial for robot navigation in GNSS-denied environments and has become increasingly important for multi-robot map fusion and urban asse…
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…
Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues
Xianghong Zou, Jianping Li, Weitong Wu +3
Wearable laser scanning (WLS) system has the advantages of flexibility and portability. It can be used for determining the user's path within a prior map, which is a huge demand fo…
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping
Zequan Chen, Jianping Li, Qusheng Li +2
Automated Aerial Triangulation (AAT), aiming to restore image pose and reconstruct sparse points simultaneously, plays a pivotal role in earth observation. With its rich research h…
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
Youqi Liao, Shuhao Kang, Jianping Li +5
Precise and rapid delineation of sharp boundaries and robust semantics is essential for numerous downstream robotic tasks, such as robot grasping and manipulation, real-time semant…
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration
Shuhao Kang, Youqi Liao, Jianping Li +7
Image-to-point cloud (I2P) registration is a fundamental task for robots and autonomous vehicles to achieve cross-modality data fusion and localization. Current I2P registration me…