13 citations · 14 across the 8 of their papers we have counts for
8 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.…
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…
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…
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping
Sheng Hong, Chunran Zheng, Yishu Shen +4
In recent years, 3D Gaussian splatting (3D-GS) has emerged as a novel scene representation approach. However, existing vision-only 3D-GS methods often rely on hand-crafted heuristi…
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…