Topic
Collision avoidance system
About: Collision avoidance system is a research topic. Over the lifetime, 1788 publications have been published within this topic receiving 23667 citations.
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TL;DR: A survey on the major collision avoidance systems developed in up to date publications is presented and those categories are explained, compared and discussed about advantages and disadvantages.
Abstract: Collision avoidance is a key factor in enabling the integration of unmanned aerial vehicle into real life use, whether it is in military or civil application. For a long time there have been a large number of works to address this problem; therefore a comparative summary of them would be desirable. This paper presents a survey on the major collision avoidance systems developed in up to date publications. Each collision avoidance system contains two main parts: sensing and detection, and collision avoidance. Based on their characteristics each part is divided into different categories; and those categories are explained, compared and discussed about advantages and disadvantages in this paper.
69 citations
Journal Article•
TL;DR: Simulation results demonstrate that the collision avoidance system with the expert system takes more reasonable actions than the system without it.
Abstract: In this paper, a collision avoidance system is developed using the expert system and action space search. Fuzzy theory is used to reason the degree of collision risk, and the A * search method is used to make an avoidance action plan. The action space searched by the ship is formed in the expert system using the marine traffic rules. Simulation results demonstrate that the collision avoidance system with the expert system takes more reasonable actions than the system without it.
69 citations
TL;DR: In this article, an autonomous obstacle avoidance system not only by braking but also by steering, as one of the active safety technologies to prevent traffic accidents, is proposed to prevent the vehicle from colliding with a moving obstacle like a pedestrian jumping out from the roadside.
Abstract: This study proposes an autonomous obstacle avoidance system not only by braking but also by steering, as one of the active safety technologies to prevent traffic accidents. The proposed system prevents the vehicle from colliding with a moving obstacle like a pedestrian jumping out from the roadside. In the proposed system, to avoid the predicted colliding position based on constant-velocity obstacle motion assumption, the avoidance trajectory is derived as connected two identical arcs. The system then controls the vehicle autonomously by the combined control of the braking and steering systems. In this paper, the proposed system is examined by real car experiments and its effectiveness is shown from the results of the experiments.
69 citations
TL;DR: An iterative tuning process reduced the operational impact on the air traffic system and improved acceptability of alerts, and a 15-month effort that resulted in substantial improvements are summarized.
Abstract: The Traffic Alert and Collision Avoidance System (TCAS) is mandated worldwide on large commercial aircraft and has been shown to substantially reduce the risk of mid-air collision. However, the log...
68 citations
01 Sep 2015
TL;DR: A collision avoidance system based on visual detection using a Hummingbird quadrotor equipped with a large red marker with two built-in fish-eye cameras and based on navigation functions designed to cope with cameras characterized by limited field of view.
Abstract: In this paper we present a collision avoidance system based on visual detection. Our hardware consists of a Hummingbird quadrotor equipped with a large red marker with two built-in fish-eye cameras. Fusion of the measurements from the two cameras is done using a Gaussian-mixture probability hypothesis density filter, which allows for tracking several aircrafts at the same time. Our collision avoidance algorithm is based on navigation functions designed to cope with cameras characterized by limited field of view. Its mathematical correctness has been proven in a former paper [1]. The collision avoidance maneuver is performed without the vehicles explicitly exchanging information via communication but instead relying solely on on-board sensors. Our system has been validated in an indoor space with four different collision scenarios. Trajectory data was recorded with an external motion capture system and demonstrate good robustness against sensing noise.
67 citations