Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments

By Alonzo James Kelly, Anthony Stentz, O. Amidi, Mike Bode, David M. Bradley, A. Diaz-Calderon, Michael Happold, H. Herman, R. Mandelbaum, T. Pilarski and 4 more. Int. J. Robotics Res., 2006

299 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/23ad4a21b005616eab1541d710b5be086cca77f3

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Citations in the corpus

Differentially constrained mobile robot motion planning in state lattices (2009, methodology): “Repeated attempts to get by with less have not been particularly successful (Kelly et al., 2004).”
OctoMap: an efficient probabilistic 3D mapping framework based on octrees (2013, background): “It is worth noting that for certain configurations of the sensor model that are symmetric, i.e., nodes being updated as hits have the same weight as the ones updated as misses, this probability update has the same effect as counting hits and misses similar to (Kelly et al., 2006).”
A Review of Motion Planning Techniques for Automated Vehicles (2016, methodology): “Later, the Darpa PerceptOR program stimulated the development of automated navigation techniques for offroad vehicles [116], [117].”
Efficient Constrained Path Planning via Search in State Lattices (2005, methodology): “Initial concepts of this work were explored in a successful field implementation of a nonholonomic motion planner built using the state lattice of limited size represented explicitly (7).”
Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, background): “The autonomous helicopter was helping the ground robot to navigate autonomously in an unknown environment (Kelly et al., 2006).”
Contextual Sequence Prediction with Application to Control Library Optimization (2012, methodology): “Such methods are widely used in modern, autonomous ground robots including the two highest placing teams for DARPA Urban Challenge and Grand Challenge [28, 17, 27, 26], LAGR [12], UPI [1], and Perceptor [14] programs.”
3D Convolutional Neural Networks for landing zone detection from LiDAR (2015, methodology): “Finally each subvolume is evaluated independently with the CNN.”
Terrain traversability analysis methods for unmanned ground vehicles: A survey (2013, background): “Kelly et al. (2006) described the design and operation of a human–robot team for off-road navigation, wherein terrain classification was based on geometry-based features combined with multi-spectral imagebased features.”
Introspective perception: Learning to predict failures in vision systems (2016, methodology): “The minimum is computed using iteratively re-weighted LevenbergMarquardt minimization [35].”