13 citations · 20 across the 10 of their papers we have counts for
12 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…
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…
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…
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…
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…
Monocular Localization with Semantics Map for Autonomous Vehicles
Jixiang Wan, Xudong Zhang, Shuzhou Dong +7
Accurate and robust localization remains a significant challenge for autonomous vehicles. The cost of sensors and limitations in local computational efficiency make it difficult to…
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao, Zhongruo Wang, Yaqian Li +3
The advent of foundation models has revolutionized the fields of natural language processing and computer vision, paving the way for their application in autonomous driving (AD). T…