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Driving with tentacles: Integral structures for sensing and motion
In this paper we describe a LIDAR-based navigation approach applied at both the C-Elrob (European Land Robot Trial) 2007 and the 2007 DARPA Urban Challenge. At the C-Elrob 2007 the approach was usedExpand
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Fast segmentation of 3D point clouds for ground vehicles
TLDR
This paper describes a fast method for segmentation of large-size long-range 3D point clouds that especially lends itself for later classification of objects. Expand
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Autonomous Ground Vehicles—Concepts and a Path to the Future
TLDR
We give an overview of the most current trends in autonomous vehicles, highlighting the concepts common to most successful systems as well as their differences. Expand
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Real-time object classification in 3D point clouds using point feature histograms
TLDR
This paper describes a LIDAR-based perception system for ground robot mobility, consisting of 3D object detection, classification and tracking, performed in real-time at 0.1s frame-rate. Expand
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LIDAR-based 3D Object Perception
TLDR
This paper describes a LIDAR-based perception system for ground robot mobility, consisting of 3D object detection, classification and tracking, performed in real-time at 0.1s frame-rate. Expand
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Driving with Tentacles - Integral Structures for Sensing and Motion
TLDR
In this paper we describe a LIDAR-based navigation approach applied at both the C-Elrob (European Land Robot Trial) 2007 and the 2007 DARPA Urban Challenge. Expand
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Fusing vision and LIDAR - Synchronization, correction and occlusion reasoning
TLDR
Autonomous navigation in unstructured environments like forest or country roads with dynamic objects remains a challenging task, particularly with respect to the perception of the environment using multiple different sensors. Expand
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Tracking and classification of arbitrary objects with bottom-up/top-down detection
TLDR
This paper addresses the problem of tracking moving objects that are hard to segment from their static surroundings by utilizing top-down knowledge about the geometry of existing tracks during segmentation. Expand
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Autonomous Off-Road Navigation for MuCAR-3
TLDR
This report gives an overview of the autonomous navigation approach developed for the ground robot MuCAR-3, partly as a satellite project in the CoTeSys cluster of excellence. Expand
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Detection and tracking of road networks in rural terrain by fusing vision and LIDAR
TLDR
We present a robust model-based approach for detecting and tracking road networks in rural terrain. Expand
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