Proceedings ArticleDOI
Autonomous parking in subterranean garages-a look at the position estimation
A. Schanz,A. Spieker,Klaus-Dieter Kuhnert +2 more
- pp 253-258
TLDR
In this article, an approach for position estimation for a vehicle in known domestic environments like underground/multi-storey car parks is described, where a laser scanner is used for environment data acquisition.Abstract:
This contribution describes an approach for position estimation for a vehicle in known domestic environments like underground/multi-storey car parks. For environment data acquisition a laser scanner is used. First, the used environment representation is described. Subsequently, the feature extraction from the scanner data and the matching algorithms are presented. Finally, results of a prototypically implementation are shown.read more
Citations
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Proceedings ArticleDOI
Autonomous driving in a multi-level parking structure
TL;DR: This paper utilizes multi-level surface maps of the corresponding environments to calculate the path of the vehicle and to localize it based on laser data in the absence of sufficiently accurate GPS information, and utilizes a local path planner for controlling the vehicle.
Proceedings ArticleDOI
Parking Slot Markings Recognition for Automatic Parking Assist System
TL;DR: In this paper, a monocular vision based parking-slot-marking recognition algorithm was proposed, which used the target position selection of automatic parking assist system for automatic parking assistance.
Journal ArticleDOI
Scanning Laser Radar-Based Target Position Designation for Parking Aid System
TL;DR: Experimental results showed that even in situations where other methods failed, the proposed scanning laser radar-based method could designate target parking position to viable free parking space, and it is argued that the proposed method will eventually be a practical solution because of the decreasing price of scanning laser Radar and multiple-function integration strategies.
Journal ArticleDOI
Automatic free parking space detection by using motion stereo-based 3D reconstruction
TL;DR: This system proposes an efficient way of locating free parking spaces in 3D point clouds by using motion stereo-based 3D reconstruction and select point correspondences by using a de-rotation-based method and mosaic 3D structures by estimating a similarity transformation.
Book ChapterDOI
Structure analysis based parking slot marking recognition for semi-automatic parking system
TL;DR: Novel monocular-vision based target parking-slot recognition by recognizing parking-slots markings when driver designates a seed-point inside the target Parking-slot with touch screen is proposed.
References
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Comparison of Scan Matching Approaches for Self-Localization in Indoor Environments
TL;DR: In this paper, the authors evaluated different self-localization approaches in indoor environments for mobile robots, based on 2D laser scans and an odometry position estimate and showed that the position error can be kept small enough to perform navigation tasks.
Proceedings ArticleDOI
AMOS: comparison of scan matching approaches for self-localization in indoor environments
TL;DR: This paper describes results from evaluating different self-localization approaches in indoor environments for mobile robots based on 2D laser scans and an odometry position estimate and shows that the position error can be kept small enough to perform navigation tasks.
Book ChapterDOI
Blanche: Position Estimation For An Autonomous Robot Vehicle
TL;DR: The position estimation system for an autonomous robot vehicle called Blanche, which is designed for use in structured office or factory environments, consists of odometry supplemented with a fast, robust matching algorithm which determines the congruence between the range data and a 2D map of its environment.
Localization in Indoor Environments Using a Panoramic Laser Range Finder
TL;DR: This work presents an approach that allows for self-localization in unmodified indoor environments even under the condition that no a-priori knowledge about the surroundings is available.