Hanno Jaspers
Papers
2
Total Citations
31
H-Index
2
About
Hanno Jaspers is a robotics researcher whose work focuses on autonomous vehicle perception and multi-camera localization systems. His primary research areas include sensor fusion, terrain mapping, and vision-based localization for robotics applications. Jaspers' most significant contribution is his 2017 paper on multi-modal local terrain maps from vision and LiDAR, which has garnered 25 citations. This work presents an innovative method for constructing highly detailed local terrain maps through spatio-temporal fusion of visual and LiDAR data, achieving superior detail and efficiency compared to existing mapping approaches used in autonomous vehicles. His earlier 2012 work on SIFT-based camera localization using reference objects, with 6 citations, introduced a unified framework for improving robot perception in multi-camera environments. This approach enables automatic camera localization and network extension, demonstrating practical applications for robotics in unfamiliar settings. Jaspers' research bridges the gap between theoretical computer vision and practical robotic navigation, offering solutions that enhance autonomous systems' ability to perceive and map their surroundings with unprecedented accuracy.
Research Focus
Key Achievements
Top Papers
- 1Multi-modal local terrain maps from vision and LiDAR25 citations · 2017
- 2