Michael Himmelsbach

According to our database1, Michael Himmelsbach authored at least 15 papers between 2008 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2018
Prototyping an autonomous delivery vehicle.
Autom., 2018

2017
Multi-modal local terrain maps from vision and LiDAR.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
A new geometric 3D LiDAR feature for model creation and classification of moving objects.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2012
Autonomous Ground Vehicles - Concepts and a Path to the Future.
Proc. IEEE, 2012

Tracking and classification of arbitrary objects with bottom-up/top-down detection.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Active perception for autonomous vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
Autonomous Off-Road Navigation for MuCAR-3 - Improving the Tentacles Approach: Integral Structures for Sensing and Motion.
Künstliche Intell., 2011

GIS-based topological robot localization through LIDAR crossroad detection.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Combining multiple robot behaviors for complex off-road missions.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Detection and tracking of road networks in rural terrain by fusing vision and LIDAR.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Fusing vision and LIDAR - Synchronization, correction and occlusion reasoning.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Fast segmentation of 3D point clouds for ground vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

2009
Real-time object classification in 3D point clouds using point feature histograms.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Fusing LIDAR and Vision for Autonomous Dirt Road Following - Incorporating a Visual Feature into the Tentacles Approach.
Proceedings of the Autonome Mobile Systeme 2009, 2009

2008
Driving with tentacles: Integral structures for sensing and motion.
J. Field Robotics, 2008


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