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Junxiang Li

4 accepted papers

2026

EES: A Data-Driven End-To-End Escorting System Via Spatiotemporal Feature Fusion

ICRA 2026poster

This letter presents a technique that allows unmanned vehicles to escort a human to their destinations. Current human-centered following methods depend solely on human movement, which presents significant limitations. The complexity of human movement during tactical maneuvers can lead to erratic veh…

Cited by 0SourceScholar
2026

SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization

CVPR 2026

Robust cross-view geo-localization (CVGL) remains challenging despite the surge in recent progress. Existing methods still rely on field-of-view (FoV)-specific training paradigms, where models are optimized under a fixed FoV but collapse when tested on unseen FoVs and unknown orientations. This limi

Cited by 0SourcecodeScholar
2025

Simpler Is Better: Revisiting Doppler Velocity for Enhanced Moving Object Tracking with FMCW LiDAR

IROS 2025

Real-time and accurate perception of dynamic objects is crucial for autonomous driving. To better capture the motion information of objects, some methods now employ 4D Doppler point clouds collected by frequency-modulated continuous-wave (FMCW) LiDAR to enhance the detection and tracking of moving o

Cited by 1SourcecodeScholar
2024

Design and Development of Composite Linkage Mechanism for Cable-Driven Segmented Manipulator to Increase Synchronous Accuracy and Transmission Distance

RA-L 2024

Cable-driven segmented manipulators (CDSMs) have high dexterity and large bending characteristics with less motors, which have great potential for long-range manipulation in structured environment. However, as joints’ number and segments’ length increase, the synchronous performance will largely dec

Cited by 3SourceScholar