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103
Probabilistic representation of the uncertainty of stereo-vision and application to obstacle detection
- INTELLIGNET VEHICLES SYMPOSIUM
, 2010
"... Stereo-vision is extensively used for intelligent vehicles, mainly for obstacle detection, as it provides a large amount of data. Many authors use it as a classical 3D sensor which provides a large tri-dimensional cloud of metric measurements, and apply methods usually designed for other sensors, ..."
Abstract
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Cited by 13 (5 self)
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Stereo-vision is extensively used for intelligent vehicles, mainly for obstacle detection, as it provides a large amount of data. Many authors use it as a classical 3D sensor which provides a large tri-dimensional cloud of metric measurements, and apply methods usually designed for other sensors
Robust and Fast Stereovision based Road Obstacles Detection for Driving Safety Assistance
- In IAPR MVA 2002
, 2002
"... false matches. Lastly, section 6 presents the results of experiments about the longitudinal control of a low speed automated vehicle (based on a second order sliding mode control) using the "v-disparity " algorithm for obstacles detection and distance computation. This paper deals with a f ..."
Abstract
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Cited by 5 (3 self)
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false matches. Lastly, section 6 presents the results of experiments about the longitudinal control of a low speed automated vehicle (based on a second order sliding mode control) using the "v-disparity " algorithm for obstacles detection and distance computation. This paper deals with a
Real time obstacle detection in stereovision on non flat road geometry through V-disparity representation. Pages 646–651 of: Procs
- Proc. SPIE 238. 71 136 version 1 - 9 Sep 2011 LeGuilloux
, 2002
"... Abstract — Many roads are not totaly planar and often present hills and valleys because of environment topography. Nevertheless, the majority of existing techniques for road obstacle detection using stereovision assumes that the road is planar. This can cause several issues: imprecision as regards t ..."
Abstract
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Cited by 84 (9 self)
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Abstract — Many roads are not totaly planar and often present hills and valleys because of environment topography. Nevertheless, the majority of existing techniques for road obstacle detection using stereovision assumes that the road is planar. This can cause several issues: imprecision as regards
Obstacle Detection for Unmanned Ground Vehicles: A Progress Report *
, 1995
"... lb detect obstacles during oll:road autonomous navigation, unmanned ground vehicles (UGV's) must sense terrain geometry and composition (ie. terrain type) under day, hiS. let. and low-visibil/ty conditions. To sense terrain geometry, wc have developed a real-time stereo vision em that us a Data ..."
Abstract
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Cited by 91 (18 self)
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lb detect obstacles during oll:road autonomous navigation, unmanned ground vehicles (UGV's) must sense terrain geometry and composition (ie. terrain type) under day, hiS. let. and low-visibil/ty conditions. To sense terrain geometry, wc have developed a real-time stereo vision em that us a
Stereo-Vision Based Real time Obstacle Detection for Urban Environments
- Int. Conf. on Advanced Robotics,Vol
, 2003
"... Obstacle detection is an essential capability for the safe guidance of autonomous vehicles, especially in ur-ban environments. Most of the existing stereovision techniques for obstacle detection rely on the planar ground assumption. However in urban environments the real-time requirement and the ran ..."
Abstract
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Cited by 3 (0 self)
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Obstacle detection is an essential capability for the safe guidance of autonomous vehicles, especially in ur-ban environments. Most of the existing stereovision techniques for obstacle detection rely on the planar ground assumption. However in urban environments the real-time requirement
Stereovision on Mobile Devices for Obstacle Detection in Low Speed Traffic Scenarios
"... Abstract—Since smart mobile devices having capabilities of synchronous stereo image acquisition have been released on the market, the topic of real-time 3D environment reconstruction by stereovision on such mobile platforms has become of a greater interest among researchers. In this paper we continu ..."
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continue the sparse stereovision approach proposed in [15], while focusing on improving the reconstruction results by refining the disparity computation accuracy to a sub-pixel level and by using the available sensors to gain more information about the position of the device relative to the world. After
Using obstacles and road pixels in the disparity-space computation of stereo-vision based occupancy grids
- IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE
, 2010
"... Occupancy grids have been used for a variety of applications in the field of robotics. These grids have typically been created based on data provided by range sensors such as laser or ultrasound. Current practice is to create the grids based on a probabilistic sensor model such as [1]. The use of s ..."
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Cited by 7 (1 self)
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. It is also computationally efficient, since it uses the u-disparity approach to avoid processing a large point cloud. The occupancy calculation formally accounts for the detection of obstacles and the road in disparity space, as well as partial occlusions in the scene. In a second stage, this disparity
Stereo-vision based 3D modeling for unmanned ground vehicles
, 2007
"... Instant Scene Modeler (iSM) is a vision system for generating calibrated photo-realistic 3D models of unknown environments quickly using stereo image sequences. Equipped with iSM, Unmanned Ground Vehicles (UGVs) can capture stereo images and create 3D models to be sent back to the base station, whil ..."
Abstract
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Cited by 3 (0 self)
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for change detection. iSM has been tested on our autonomous vehicle to create photo-realistic 3D models while the rover traverses in unknown environments. Moreover, a proof-of-concept iSM payload has been mounted on an iRobot PackBot with Wayfarer technology, which is equipped with autonomous urban
Stereo Based Obstacle Detection for an Unmanned Air Vehicle
, 2006
"... This paper presents the Visual Threat Awareness (VISTA) system for real time collision obstacle detection for an unmanned air vehicle (UAV). Computational stereo performance has progressed such that several commercial or open source implementations are available which operate at frame rate, but suff ..."
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Cited by 9 (2 self)
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This paper presents the Visual Threat Awareness (VISTA) system for real time collision obstacle detection for an unmanned air vehicle (UAV). Computational stereo performance has progressed such that several commercial or open source implementations are available which operate at frame rate
Online extrinsic parameters calibration for stereovision systems used in far-range detection vehicle applications
- IEEE Trans. Intell. Transp. Syst
, 2007
"... Abstract—This paper presents a high-accuracy online calibra-tion method for the absolute extrinsic parameters of a stereovi-sion system that is suited for far-distance, vision-based vehicle applications. The method uses as prior knowledge the intrinsic parameters and the relative extrinsic parameter ..."
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Cited by 4 (1 self)
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Abstract—This paper presents a high-accuracy online calibra-tion method for the absolute extrinsic parameters of a stereovi-sion system that is suited for far-distance, vision-based vehicle applications. The method uses as prior knowledge the intrinsic parameters and the relative extrinsic
Results 1 - 10
of
103
