Sentence examples for obstacle detection method from inspiring English sources

The obstacle detection method proposed is more suitable for detecting structured obstacles that may have vertical edges; for example, walls, pillars and tables.

Our system's initial prototype will attempt to detect all obstacles mentioned above other than descending stairs (since our current obstacle detection method searches for objects above the floor level).

We propose a multi-agent perception and control architecture that combines a sophisticated long-range path detection method operating at high resolution and low frame rate, with a simple stereo-based obstacle detection method operating at low resolution, high frame rate, and low latency.

Firstly, we improve obstacle detection method in order to decrease the detection miss by using plane segmentation on organized point cloud and eliminating the assumption that obstacles are on the ground.

We propose in this paper an obstacle detection method using a monocular camera mounted on a vehicle receiving the light variations in the scene on the road ahead and analyzing the captured images to carry out the obstacle detection.

Open image in new window Fig. 18 Voltage-level calculation Open image in new window Fig. 19 Example images: a and c are color and depth images in dataset 1; b and d are color and depth images in dataset 2. We evaluate the static obstacle detection method with 200 images captured at two different times with visually impaired people in MICA building.

Stereo matching based obstacle detection methods have two inherent limitations, including sensitivity to illumination variation and high computational complexity.

Obstacle detection systems using advanced methods are constituted by Radar Method [8, 9] and video imaging [10, 11].

The proposed method integrates obstacle detection and collision avoidance into a single step, hence reducing the duration of online processing while enhancing the accuracy of obstacle detection.

Methods for obstacle detection and warning could be categorized depending on how the obstacles are detected and how their information is sent to the user.

In [24], Vlaminck et al. presented a method for static obstacle detection consisting of four steps: point cloud registration, plane segmentation, ground and wall detection and obstacle detection.