Obstacle

About: Obstacle is a research topic. Over the lifetime, 9517 publications have been published within this topic receiving 94760 citations. The topic is also known as: impediment & barrier.

The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

Abstract: In this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade.

Image processing apparatus and method therefor

Abstract: Provided is an image processing apparatus and a method for realizing a method for detecting an obstacle at high speed and stably by using one TV camera and paying attention to a difference in distribution of motion parallax between a road surface and an obstacle An image input unit captures a time-series image The candidate area tracking unit 1 extracts a line segment having a specific direction, sets an obstacle candidate area around the line segment, and searches for the area around the line segment extracted every frame, thereby quickly identifying the obstacle candidate area Chase The plane assumption verification unit 3 determines to which of a plurality of preset planes the candidate areas belong, using the tracking result of the set of candidate areas in which three or more candidate areas constitute one set The obstacle detection unit 4 detects an obstacle and estimates its position based on the result of the plane assumption verification unit 3 [Selection diagram] Fig 1

Ground obstacle detection method based on binocular stereo vision of robot

Abstract: The invention discloses a ground obstacle detection method based on the binocular stereo vision of a robot, which belongs to the technical field of intelligent robots, and comprises the following steps that: according to the binocular baseline length and the focus, the ground parallax values of all rows in an image are analyzed through the geometrical configuration of the known image; based on the ground parallax values, a back projection model calculates the three-dimensional coordinates of a scene point corresponding to a pixel so as to initially judge whether the pixel belongs to an obstacle or a ground point; the obstacle and the ground point are respectively endowed with different colors; the results are post-processed and the false obstacle is removed; and three-dimensional errors are removed and a grid map is established. The method is applicable to various complicated indoor environments, can precisely identify various obstacles, has very high real-time performance, and provides very good preparation conditions for the robot to avoid obstacles.

Autonomous Obstacle Avoidance Vehicle Using LIDAR and an Embedded System

Abstract: Autonomous miniature vehicles are widely used to test many types of algorithms and simulate the driving behavior as in the real world. In the last decade, several approaches have been proposed for obstacle avoidance in self-driving vehicles. In this paper, we present our autonomous vehicle implementation which gives a solid solution to this problem in an efficient manner, using a Raspberry Pi and a LIDAR module for indoor navigation. Our vehicle is capable of navigating in an unknown environment while avoiding obstacles. Unlike other implementations, our vehicle doesn't use Computer Vision (CV) techniques for obstacle detection but only a single LIDAR sensor and thus can safely navigate in low luminosity enviroments. We perfomed various experiments and verified the success of our implementation.