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Keywords
Obstacle Detection

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Obstacle Detection
Publications: 1,596| Citation Count: 8,521
Stemming Variations: obstacles detection, obstacle detecting, Obstacle Detectability, obstacles detected, obstacle detections
Cumulative Annual
    • Obstacle detection is an important part of Video Processing because it is indispensable for a collision prevention of autonomously navigating moving objects. For example, vehicles driving without human guidance need a robust prediction of potential obstacles, like other vehicles or pedestrians. Most of the common approaches of obstacle detection so far use analytical and statistical methods like motion estimation or generation of maps...

    D. Feidenet al. Cellular neural networks for motion estimation and obstacle detection

    • Obstacle detection is an essential capability for the safe guidance of autonomous vehicles, especially in urban environments...

    Qian Yuet al. A Stereovision Method for Obstacle Detection and Tracking in Non-Flat ...

    • Obstacle detection is an important component for many autonomous vehicle navigation systems. Several methods have been proposed using various active sensors such as radar, sonar and laser range finders. Vision based techniques have the advantage of relatively low cost and provide a large amount of information about the environment around an intelligent vehicle...

    Wided Miledet al. Robust Obstacle Detection Based on Dense Disparity Maps

    • Obstacle detection is a classical function required on a mobile robot or on a vehicle...

    Vincent Lemondeet al. Obstacle Detection With Stereovision

    • Obstacle detection is a prerequisite for a variety of innovative safety and driver assistance systems such as adaptive cruise control, collision avoidance, anticipatory crash sensing, occupant position recognition or night vision. Depending on the specific application, obstacle detection systems enable the measurement of the position, range, range rate or temperature of objects in the sensor’s field of view...

    A. S. Teuner. Overview: Obstacle Detection

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