13 citations · 14 across the 15 of their papers we have counts for
17 papers
AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness
Yijian Li, Changze Li, Han Zheng +5
Zero-shot vision-and-language navigation in continuous environments (VLN-CE) has recently become feasible with large vision-language models (VLMs). Existing methods typically rely…
VLN-AVP: Zero-Shot Vision-Language Navigation with Hybrid Long-Short-Term Memory for Autonomous Valet Parking
Yijian Li, Xiangru Mu, Changze Li +7
Existing methods in Autonomous Valet Parking (AVP) typically rely on pre-built maps, which severely restricts their scalability to unseen environments and open-vocabulary targets.…
SCAN-Planner: Spatial Collision-Aware Local Planning for Route-Guided Long-Range Quadruped Navigation
Han Zheng, Zhe Chen, Yiwen Fu +2
Quadruped robots are increasingly expected to navigate through narrow passages, cluttered indoor scenes, and large-scale 3D unstructured environments. Existing local planners commo…
ParkingWorld: End-to-End Autonomous Parking Reinforcement Learning from Corrective Experience in 3DGS Simulation
Zhengcheng Yu, Changze Li, Haoran Liu +1
Autonomous parking demands precise low-speed maneuvering within narrow, cluttered, and highly constrained environments, where vehicles must navigate tight spaces while avoiding sta…
Elevator-LIO: Robust LiDAR-Inertial Odometry for Multi-Floor Navigation under Elevator-Induced Non-Inertial Motion
Yifan Zhang, Yudong Huang, Yuchong Zhang +4
This paper presents Elevator-LIO, a LiDAR-inertial odometry framework designed to achieve continuous robot localization during elevator travel, thereby supporting cross-floor robot…
TravExplorer: Cross-Floor Embodied Exploration via Traversability-Aware 3-D Planning
Han Zheng, Zhe Chen, Yudong Huang +4
Zero-shot Object Navigation (ZSON) has shown promise for open-vocabulary target search in unseen environments, yet most existing systems remain tied to planar representations and s…
REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
Changze Li, Zhe Chen, Shaoyu Chen +7
In recent years, autonomous parking has made significant advances, yet parking tasks still face challenges in extreme scenarios such as mechanical and dead-end parking slots, often…
FAR-AVIO: Fast and Robust Schur-Complement Based Acoustic-Visual-Inertial Fusion Odometry with Sensor Calibration
Hao Wei, Peiji Wang, Qianhao Wang +3
Underwater environments impose severe challenges to visual-inertial odometry systems, as strong light attenuation, marine snow and turbidity, together with weakly exciting motions,…
End-to-end Autonomous Vehicle Following System using Monocular Fisheye Camera
Jiale Zhang, Yeqiang Qian, Tong Qin +3
The increase in vehicle ownership has led to increased traffic congestion, more accidents, and higher carbon emissions. Vehicle platooning is a promising solution to address these…
MultiPark: Multimodal Parking Transformer with Next-Segment Prediction
Han Zheng, Zikang Zhou, Guli Zhang +6
Parking accurately and safely in highly constrained spaces remains a critical challenge. Unlike structured driving environments, parking requires executing complex maneuvers such a…
Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment
Han Zheng, Jiale Zhang, Mingyang Jiang +4
Autonomous navigation is a fundamental task for robot vacuum cleaners in indoor environments. Since their core function is to clean entire areas, robots inevitably encounter dead z…
RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking
Zhitao Wang, Zhe Chen, Mingyang Jiang +2
Autonomous parking has become a critical application in automatic driving research and development. Parking operations often suffer from limited space and complex environments, req…
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures
Qiyuan Shen, Hengwang Zhao, Weihao Yan +3
Cross-modal localization has drawn increasing attention in recent years, while the visual relocalization in prior LiDAR maps is less studied. Related methods usually suffer from in…
ParkingE2E: Camera-based End-to-end Parking Network, from Images to Planning
Changze Li, Ziheng Ji, Zhe Chen +2
Autonomous parking is a crucial task in the intelligent driving field. Traditional parking algorithms are usually implemented using rule-based schemes. However, these methods are l…
MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps
Hang Wu, Zhenghao Zhang, Siyuan Lin +4
Robust localization is the cornerstone of autonomous driving, especially in challenging urban environments where GPS signals suffer from multipath errors. Traditional localization…
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight
Hang Wu, Zhenghao Zhang, Siyuan Lin +5
Bird's-eye-view (BEV) representation is crucial for the perception function in autonomous driving tasks. It is difficult to balance the accuracy, efficiency and range of BEV repres…
Crowd-Sourced NeRF: Collecting Data from Production Vehicles for 3D Street View Reconstruction
Tong Qin, Changze Li, Haoyang Ye +4
Recently, Neural Radiance Fields (NeRF) achieved impressive results in novel view synthesis. Block-NeRF showed the capability of leveraging NeRF to build large city-scale models. F…