Hao-Ting Wang

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Hao-Ting Wang is a researcher specializing in sensor fusion for robotics and autonomous driving, with a particular focus on the calibration of 2D cameras and 3D laser scanners. His most cited work, "Online Recalibration of a Camera and Lidar System" (2018), addresses a critical challenge in autonomous systems: maintaining accurate sensor alignment during operation. While traditional calibration methods rely on offline checkerboard patterns, Wang's contribution enables online recalibration, allowing robots and vehicles to correct sensor pose drift in real-time without interrupting their tasks. This work has garnered 7 citations and represents an important step toward more robust and reliable perception systems for dynamic environments. Wang's research sits at the intersection of computer vision, robotics, and autonomous navigation, tackling practical problems that directly impact the safety and performance of self-driving vehicles and mobile robots. His focus on online, adaptive calibration methods highlights a commitment to developing solutions that work in real-world conditions, making his contributions valuable for both academic researchers and industry practitioners working on sensor fusion and autonomous systems.