Dequan Zeng
Papers
1
Total Citations
6
H-Index
1
About
Dequan Zeng is a researcher in autonomous vehicle navigation, with a primary focus on path planning and motion control for on-road driving. His most cited work, "A Steerable Curvature Approach for Efficient Executable Path Planning for on-Road Autonomous Vehicle" (2019), introduces a rapid path-planning algorithm that generates drivable, smooth trajectories using cubic B-spline curves. This approach ensures continuous curvature, enabling vehicles to follow paths that are both executable and comfortable for passengers. By addressing the critical challenge of balancing computational efficiency with path drivability, Zeng's work contributes directly to the real-world deployment of autonomous systems in structured road environments. With 6 citations, this paper has garnered attention from researchers working on practical, curvature-constrained planning. Zeng’s contributions are particularly valuable for students and engineers seeking to understand how geometric curve representations can bridge the gap between high-level route planning and low-level vehicle control. His work exemplifies the kind of applied, solution-oriented research that moves autonomous driving closer to widespread adoption.
Research Focus
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Top Papers
- 1