Searching for authors named "Larry Matthies" – sorted by Relevance.
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Passive Night Vision Sensor Comparison For Unmanned Ground Vehicle Stereo Vision Navigation
- One goal of the "Demo III " unmanned ground vehicle program is to enable autonomous nighttime navigation at speeds of up to 10 m.p. h. To perform obstacle detection at night with stereo vision will require night vision cameras that produce adequate image quality for the driving speeds, veh
- Cited by 6 (1 self) – Add To MetaCart
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Real-time detection of moving objects from moving vehicle using dense stereo and optical flow
- Dynamic scene perception is very important for autonomous vehicles operating around other moving vehicles and humans. Most work on real-time object tracking from moving plaforms has used sparse features or assumed flat scene structures. We have recently extended a real-time, dense stereo system to i
- Cited by 5 (1 self) – Add To MetaCart
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An Obstacle Representation for Off-road Autonomous Driving
- The field of autonomous vehicles has seen considerable success in the domain of freeway driving. Here the constraints of freeway construction, rules of the road, and encoded maps are used to successfully drive a vehicle with a minimum of human intervention. Autonomous navigation in a more general en
- Cited by 1 (0 self) – Add To MetaCart
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A Bayesian Foundation for Active Stereo Vision
- Sensing three-dimensional shape is a central problem in the development of robot systems for autonomous navigation and manipulation. Stereo vision is an attractive approach to this problem in several applications; however, stereo algorithms still lack reliabillty and generality, We address these pro
- Cited by 1 (0 self) – Add To MetaCart
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Machine Vision for Obstacle Detection and Ordnance Recognition
- Unmanned ground vehicles (UGV's) are under development for missions from scouting battlefields to clearing test ranges of unexploded ordnance (UXO) to exploring other planets. Several new sensing capabilities are critical to enabling these missions. This paper addresses two such capabilities: obstac
- Cited by 4 (0 self) – Add To MetaCart
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Evaluation of stereo vision obstacle detection algorithms for off-road autonomous navigation
- Reliable detection of non-traversable hazards is a key requirement for off-road autonomous navigation. Under the Army Research Laboratory (ARL) Collaborative Technology Alliances (CTA) program, JPL has evaluated the performance of seven obstacle detection algorithms on a General Dynamics Robotic Sys
- Cited by 8 (1 self) – Add To MetaCart
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Bias reduction filter convergence for long range stereo
- Abstract. We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gaussians, where the mean is derived by triangulation and the covariance by linearized error propagation. However,
- Cited by 2 (0 self) – Add To MetaCart
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Detecting Water Hazards for Autonomous Off-Road Navigation
- Detecting water hazards for autonomous, off-road navigation of unmanned ground vehicles is a largely unexplored problem. In this paper, we catalog environmental variables that affect the difficulty of this problem, including day vs. night operation, whether the water reflects sky or other terrain fe
- Cited by 5 (2 self) – Add To MetaCart
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Obstacle detection in foliage with ladar and radar
- Abstract. Autonomous off-road navigation is central to several important applications of unmanned ground vehicles. This requires the ability to detect obstacles in vegetation. We examine the prospects for doing so with scanning ladar and with a linear array of 2.2 GHz micro-impulse radar transceiver
- Cited by 4 (0 self) – Add To MetaCart
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Maximum Likelihood Rover Localization by Matching Range Maps
- This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is first generated using stereo vision. The position of the rover with respect to a previously generated occupancy map is t
- Cited by 45 (15 self) – Add To MetaCart

