Enwei Xu
Papers
1
Total Citations
1
H-Index
1
About
Enwei Xu is a robotics researcher whose work bridges simulation and real-world autonomous navigation, with a focus on accessible platforms for self-driving technology. His key research areas include autonomous vehicle control, sensor integration, and robotic mapping using laser-based systems. In his notable 2018 paper, "Pioneer P3-DX Robot to Achieve Self Driving Car," Xu demonstrated how to transform the Pioneer P3-DX platform into a functional self-driving car simulation, achieving auto-navigation and obstacle avoidance using Hokuyo laser sensors, gmapping, and the ROS navigation stack. This work also incorporated color detection, showcasing multi-sensor fusion for enhanced environmental perception. While his most-cited paper has garnered 1 citation, its practical, hands-on approach has made it a valuable reference for students and researchers exploring low-cost autonomous systems. Xu’s contributions emphasize the importance of repurposing existing robotic platforms for educational and experimental autonomous driving research, providing a replicable framework that lowers the barrier to entry in this rapidly advancing field.
Research Focus
Key Achievements
Top Papers
- 1Pioneer P3-DX Robot to Achieve Self Driving Car1 citations · 2018