Yunshui Zhou
Papers
2
Total Citations
10
H-Index
2
About
Yunshui Zhou is a researcher specializing in sensor fusion and calibration for autonomous systems, with a focus on multi-modal perception technologies. Their work addresses critical challenges in the extrinsic calibration of cameras, LiDAR, GNSS, and IMU sensors—key components in autonomous vehicles and robotics. Zhou’s major contributions include developing a target-free, iterative refinement method for stereo camera-GNSS/IMU self-calibration, which eliminates the need for specific vehicle movements or calibration targets, achieving 6 citations since 2023. They also advanced LiDAR-camera calibration by adapting the hand–eye model to overcome motion limitations in ground robots, where translation and rotation are constrained (4 citations). These innovations improve the accuracy and practicality of sensor fusion in real-world deployments, reducing calibration complexity. Zhou’s work is notable for addressing real-world constraints—such as limited robot motion—making calibration more accessible for autonomous systems. With a growing citation impact and a focus on practical, deployable solutions, Zhou is contributing to the foundational technology that enables safer, more reliable autonomous navigation in vehicles and robots.
Research Focus
Key Achievements
Top Papers
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- 2