Haiqiang Chen

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Haiqiang Chen is a researcher specializing in computer vision and autonomous navigation, with a particular focus on robust perception systems for outdoor robotics. His most-cited work, "Road segmentation for all-day outdoor robot navigation" (2018, 59 citations), addresses a critical challenge in autonomous systems: enabling reliable road detection under varying lighting conditions, from bright daylight to low-light environments. This contribution is foundational for improving the safety and adaptability of self-driving vehicles and field robots operating in real-world, unstructured settings. Chen's research integrates deep learning techniques with environmental understanding, pushing the boundaries of semantic segmentation for dynamic outdoor scenes. His work has been recognized for its practical impact, providing a benchmark for all-day navigation systems and influencing subsequent studies in autonomous driving and mobile robotics. By tackling the perennial problem of lighting invariance, Chen has helped bridge the gap between laboratory performance and real-world deployment, making his contributions valuable for both academic researchers and industry practitioners seeking to enhance robotic autonomy in challenging environments.