Carnegie Mellon University
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LIDAR and Vision Sensor Fusion for Autonomous Vehicle Navigation
This project is no longer active.
Head: Takeo Kanade, Martial Hebert , and Daniel Huber
Contact: Daniel Huber
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Associated lab(s) / group(s):
 3D Vision and Intelligent Systems Group
This page last updated - July 2010.
Autonomous vehicles generally rely on multiple sensors that use different sensing modalities in order to achieve reliable performance for navigation and obstacle avoidance tasks. In this research, we are studying the combination of laser based 3D sensors (LIDARs) with image-based sensors, including stereo and monocular imagery. One of the key ideas that we are exploring is the concept of tightly integrating these different sensing modalities throughout an algorithm’s various steps. Another central aspect of the research is the effect of time and temporal error due to synchronization errors between different sensing modalities. This project covers a number of specific research topics: