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Haoyu Yuan

4 accepted papers

2026

How Bumpy Is It? Incremental Online Learning of Terrain-Induced Bumpiness Costs for Off-Road Vehicles

ICRA 2026poster

Stable autonomous driving in unstructured off-road environments remains a longstanding challenge. In the absence of structured roads and in the presence of uneven terrain, vegetation, and soil slopes, vehicles must rely on LiDAR–Camera fusion to identify stable and traversable roads. However, existi…

Cited by 0Scholar
2025

Deep Reinforcement Learning-Based Trajectory Tracking Framework for 4WS Robots Considering Switch of Steering Modes

IROS 2025

The application scenarios of automated robots are undergoing a paradigm shift from structured environments to unstructured, complex settings. In highly constrained settings like factory inspections or disaster rescue, conventional steering systems show clear drawbacks. While the four-wheel independe

Cited by 1SourceScholar
2025

HFSENet: Hierarchical Fusion Semantic Enhancement Network for RGB-T Semantic Segmentation in Annealing Furnace Operation Area

IROS 2025

Regular temperature measurement of critical parts of an annealing furnace has always been a difficult task. Due to the harsh environment of high temperature, high noise, and darkness in the annealing furnace operation area, unmanned vehicles equipped with the RGB-T semantic segmentation model are us

Cited by 0SourceScholar
2024

Real-time terrain assessment and Bayesian-based path planning for off-road navigation

IROS 2024poster

In the context of unstructured and unknown environment, the autonomous navigation still faces many challenges, such as assessing rough terrain and deciding how to safely navigate complex terrain. In this work, we propose a robust and practical off-road navigation framework that has been successfully…

Cited by 0SourceScholar