← Search

Lin Hong

4 accepted papers

2026

UTracker: Learning Visuomotor Policies for Underwater Active Target Tracking via Imitation Learning and Diffusion Model

RA-L 2026

Active visual tracking of underwater non-cooperative targets is a challenging task for autonomous underwater vehicles (AUVs) due to the complexity of underwater environments and the unpredictable dynamics of target motion. To address this challenge, this paper proposes UTracker, a novel framework fo

Cited by 2SourcecodeScholar
2025

Safety-Critical Control with Saliency Detection for Mobile Robots in Dynamic Multi-Obstacle Environments

ICRA 2025

This paper proposes a novel dual-filter architecture utilizing RGB-D camera data and dynamic control barrier functions (D-CBFs) for real-time obstacle avoidance in unstructured environments. The proposed method efficiently handles static, suddenly appearing, and dynamic obstacles, maintaining consis

Cited by 1SourceScholar
2021

WSUIE: Weakly Supervised Underwater Image Enhancement for Improved Visual Perception

RA-L 2021

Underwater images inevitably suffer from degradation and blur due to the scattering and absorption of light as it propagates through the water, which hinders the development of underwater visual perception. Existing deep underwater image enhancement methods mainly rely on the strong supervision of a

Cited by 31SourceScholar