Xiaobo Lai
Papers
1
Total Citations
18
H-Index
1
About
Xiaobo Lai is a researcher whose work lies at the intersection of computer vision, embedded systems, and mobile robotics. His most cited contribution, "A Real-Time Range Finding System with Binocular Stereo Vision" (2012, 18 citations), exemplifies his focus on practical, hardware-accelerated solutions for spatial perception. In this work, Lai proposed a system leveraging a TMS320DM642 DSP to achieve real-time depth estimation, employing Gaussian filtering and improved Sobel kernels for robust feature extraction, followed by a local stereo matching algorithm. This approach directly addressed the critical need for efficient range acquisition in autonomous navigation. By integrating algorithmic innovation with embedded DSP implementation, Lai’s research demonstrates a commitment to bridging theoretical computer vision with real-world robotic applications. His work provides a foundational reference for engineers and researchers developing low-latency, vision-based sensing systems for mobile platforms, highlighting the enduring value of optimized, hardware-aware stereo vision in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1A Real-Time Range Finding System with Binocular Stereo Vision18 citations · 2012