1,721,053 research outputs found
A Hierarchical Approach to Feature Extraction and Grouping", IEEE Trans. on Image Processing, Vol. 9., June 2000, pp..
No full textMultisensor data fusion to drive autonomous vehicles in risky environments”, IEEE Trans on Vehicular Technologies, (Best Paper Award -automotive section IEEE VTS 2002)
No full textThis paper describes a multisensor data-fusion system for driving an autonomous earthwork vehicle operating in a sanitary landfill. The system acquires data from a set of ultrasonic sensors, a laser range finder, and several charge-coupled device cameras, and produces as output alarms that indicate potential dangerous situations, e.g., the presence of fixed or mobile obstacles in the vehicle working area. The proposed system adds to the vehicle important functionalities such as to avoid terrain holes or down slopes or to discriminate between heaps of waste to be compacted and other man-made obstacles. Data fusion allows one to increase the system's reliability and to compensate for the inaccuracies and limited operating ranges of individual sensors. Experimental results show the system's functioning both under normal operational conditions and in the presence of dangerous situations. Moreover, the performances of the system in bad environmental situations (e.g., rain, low lighting) have been evaluated
3D Road Scene Interpretation for Autonomous Vehicle Driving", Journal of Computing and Information Technology
No full textIn this paper, the problem of 3D road scene interpretation for autonomous vehicle driving is addressed. In particular, the problems of road detection and obstacle avoidance in outdoor environments are investigated. A set of descriptive primitives (straight and circular line segments) is selected to describe 3D objects which commonly occur in road scenes, e.g., people, cars, trucks, houses, etc. First, these primitives are extracted directly from the input image of the scene, and then are grouped according to specific geometric relationships (symmetry, convergence, parallelism, closeness, etc.). Relational geometrical knowledge of the elements of a group can be used to index an object in a pure bottom-up way, so decreasing the recognition complexity by reducing the amount of data to be matched with an object model database. Results on a road image containing obstacles, which show the efficiency, accuracy and time performances of the proposed method are reported
Multisensor Surveillance Systems, The Fusion Perspective, Kluwer Academic Publishers, Boston, MA, USA, 2003, ISBN 1-4020-7492-1, pp.289.
No full textKluwer Academic Publishers Boston, MA, USA, 2003, ISBN ,1-4020-7492-
Automatic Layered video-shot detection and indexing for surveillance applications
No full textIncreased communication capabilities and automatic scene understanding allow human operators to simultaneously monitor multiple environments. Due to the amount of data to be processed in new surveillance systems, the human operator must be helped by automatic processing tools in the work of inspecting video sequences. In this paper, a novel approach allowing layered content-based retrieval of video-event shots referring to potentially interesting situations is presented. Interpretation of events is used for defining new video-event shot detection and indexing criteria. Interesting events refer to potentially dangerous situations: abandoned objects and predefined human events are considered in this paper. Video-event shot detection and indexing capabilities are used for online and offline content-based retrieval of scenes to be detected
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