Harpreet Sawhney
Papers
10
Total Citations
206
H-Index
6
About
Harpreet Sawhney is a leading researcher in robotics perception, autonomous navigation, and 3D environmental reconstruction. His most influential work focuses on building segmentation from aerial LIDAR data, where his 2008 paper has garnered 70 citations for its novel approach to processing sparse 3D data in densely built urban regions containing thousands of buildings per square kilometer. Sawhney has made transformative contributions to visual odometry and global localization, achieving a ten-fold improvement in localization accuracy—reducing error rates from 1-5% to centimeter-level precision over hundreds of meters, as documented in his highly cited 2007 and 2008 works (42 and 43 citations respectively). His research spans real-time LIDAR streaming architectures for mobile robotics, vision-based perception for autonomous urban navigation, and terrain reconstruction for both ground and underwater robots. Notably, his work on landmark-based navigation and obstacle detection using trackability cues has influenced subsequent developments in robotic safety and environmental understanding. With over 200 total citations across his publications, Sawhney's integrated approach to combining LIDAR and vision-based systems continues to impact autonomous vehicle technology and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-time global localization with a pre-built visual landmark database43 citations · 2008
- 3Ten-fold Improvement in Visual Odometry Using Landmark Matching42 citations · 2007
- 4
- 5
- 6Vision-based Perception for Autonomous Urban Navigation8 citations · 2008
- 7Terrain reconstruction for ground and underwater robots5 citations · 2002
- 8Affine trackability aids obstacle detection4 citations · 2003
- 9Lidar-based door and stair detection from a mobile robot3 citations · 2010
- 10