Derek Jung
Papers
3
Total Citations
84
H-Index
2
About
Derek Jung has made foundational contributions to spatial representation and collision detection in robotics, particularly through his pioneering work on octree-based hierarchical distance maps. His research centers on efficient spatial occupancy recovery and path planning, addressing the critical challenge of balancing memory usage with computational speed in robotic navigation. Jung's most influential work, published in 1997 and 2002, introduced an augmented octree structure that enables hierarchical representation of discretized distance maps—a significant advance over the memory-intensive finest-resolution approaches previously used. These papers have each garnered 41 citations, reflecting their lasting impact on the field. His work enables robots to chart collision-free courses through complex environments by efficiently representing workspace occupancy from multiple range images. Jung also developed algorithms for spatial occupancy recovery from multiple-view range imaging systems, further advancing path-planning applications. His contributions remain highly relevant for researchers working on autonomous navigation, robotic manipulation, and real-time collision avoidance systems, where efficient spatial reasoning is paramount.
Research Focus
Key Achievements
Top Papers
- 1Octree-based hierarchical distance maps for collision detection41 citations · 1997
- 2Octree-based hierarchical distance maps for collision detection41 citations · 2002
- 3