Graph-based 2D road representation of 3D point clouds for intelligent vehicles
Comprehensive situational awareness is paramount to the effectiveness of proprietary
navigational and higher-level functions of intelligent vehicles. In this paper, we address a …
navigational and higher-level functions of intelligent vehicles. In this paper, we address a …
Fast multi-pass 3D point segmentation based on a structured mesh graph for ground vehicles
P Burger, HJ Wuensche - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
Point-cloud segmentation of 3D LiDAR scans is an important preprocessing task for
autonomous vehicles in on-road and especially in off-road scenarios. Clustering point …
autonomous vehicles in on-road and especially in off-road scenarios. Clustering point …
Fast road detection from color images
In this paper, we present a method for drivable road detection by extracting its specular
intrinsic feature from an image. The resulting detection is then used in a stereo vision-based …
intrinsic feature from an image. The resulting detection is then used in a stereo vision-based …
A probabilistic distribution approach for the classification of urban roads in complex environments
Navigation in urban environments has been receiving considerable attention over the past
few years, especially for self-driving cars. Road detection for Autonomous Systems, and also …
few years, especially for self-driving cars. Road detection for Autonomous Systems, and also …
Detection of independently moving objects through stereo vision and ego-motion extraction
A Bak, S Bouchafa, D Aubert - 2010 IEEE Intelligent Vehicles …, 2010 - ieeexplore.ieee.org
Vision-based autonomous vehicles must face numerous challenges in order to be effective
in practical areas. Among these lies the detection and localization of independent-moving …
in practical areas. Among these lies the detection and localization of independent-moving …
Vehicle detection and tracking using mean shift segmentation on semi-dense disparity maps
S Lefebvre, S Ambellouis - 2012 IEEE Intelligent Vehicles …, 2012 - ieeexplore.ieee.org
This paper describes an original joint obstacle detection and tracking method based on a
Mean Shift algorithm and semi-dense disparity maps. The semi-dense disparity maps are …
Mean Shift algorithm and semi-dense disparity maps. The semi-dense disparity maps are …
Stereovision-based road boundary detection for intelligent vehicles in challenging scenarios
C Guo, S Mita, D McAllester - 2009 IEEE/RSJ International …, 2009 - ieeexplore.ieee.org
Road detection is a crucial problem for intelligent vehicles and mobile robots. Most of the
methods proposed nowadays only achieve reliable results in relatively well-arranged …
methods proposed nowadays only achieve reliable results in relatively well-arranged …
Dynamic objects detection through visual odometry and stereo-vision: a study of inaccuracy and improvement sources
A Bak, S Bouchafa, D Aubert - Machine vision and applications, 2014 - Springer
Road safety, whatever the considered environment, relies heavily on the ability to detect and
track moving objects from a moving point of view. In order to achieve such a detection, the …
track moving objects from a moving point of view. In order to achieve such a detection, the …
Drivable road region detection based on homography estimation with road appearance and driving state models
C Guo, S Mita - … Conference on Autonomous Robots and Agents, 2009 - ieeexplore.ieee.org
Road detection is one of the key issues for autonomous driving. In this paper, we present a
drivable road region detection method based on homography estimation with road …
drivable road region detection method based on homography estimation with road …
Stereovision-based 3D obstacle detection for automotive safety driving assistance
N Ventroux, R Schmit, F Pasquet… - … IEEE Conference on …, 2009 - ieeexplore.ieee.org
This paper describes the implementation of a realtime architecture dedicated to obstacle
detection in the automotive domain, and more particularly to pre-crash situations. The …
detection in the automotive domain, and more particularly to pre-crash situations. The …