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.

A Real-Time Collision Avoidance System for Autonomous Surface Vessel Using Fuzzy Logic

Abstract: Numerous researches have been done to develop ASV (Autonomous Surface Vessel) collision avoidance systems. Most of the systems used static methods but did not apply a knowledge base where solutions can be reused and adapted to solve a new case. In this paper, an algorithm of autonomous collision avoidance is proposed considering steering dynamic for ASV. The process of this learning method is to recall the FCBR (Fuzzy Case Base Reasoning) containing basic expert knowledge in the form of stored cases. The solutions will be retrieved from the knowledge base to find a NH (New Heading) command for collision avoidance. Moreover, to execute the NH, a design of adaptive fuzzy ASV heading control system based on command filter is conducted considering the input saturation constraints and external disturbances. T-S fuzzy logic is employed to approximate nonlinear uncertainties existing in the heading control system adopting the MLP (Minimal Learning Parameter) technique. Finally, simulations prove that the method is effective to retrieve the past similar cases for the new collision avoidance situation and give its solution for ASV to track adjusted heading.

The study on intelligent vehicle collision-avoidance system with vision perception and fuzzy decision making

Abstract: This paper proposes a combination scenario of vision perception and fuzzy decision making for developing an intelligent vehicle collision-avoidance system (IVCAS). In IVCAS, a CCD camera is installed on the following vehicle and used to capture the image of leading vehicles and road information. The features of the leading vehicles and lane boundary are recognized by vision perception method, which derived from our previous work on histogram-based color difference fuzzy c-means (HCDFCM). HCDFCM is a robust and fast algorithm for detecting object boundary. In this paper, we adopted the coordinate mapping relationship (CMR) with HCDFCM to provide a robust vision perception for the necessary information such as relative velocity, relative distance between leading and following vehicle and absolute velocity of following vehicle, etc. The collision-avoidance strategy is based on the vision perception and implemented by a fuzzy decision making mechanism. In this paper, the necessary information is integrated as a degree of exceeding safe-distance (DESD) to estimate the possibility of collision. A safety coefficient (SC) is defined to indicate the degree of safety. Therefore, the number of fuzzy rules that based on DESD and SC could be reduced to improve the efficiency of decision making. In addition to robust image processing, abundant information are derived from recognizing image feature using the proposed algorithm in this paper. The fuzzy decision making mechanism abstract useful compact data extracted from these abundant information. Therefore, the main advantage of IVCAS is using less number of fuzzy rules than other systems, and gets more effectiveness in vehicle collision-avoidance.

Some Aspects of Collision Avoidance

Abstract: S aspects of the problem of collision avoidance for two chicles are examined by hypothesizing certain rationales for the vehicle operators and then computing the sets of initial conditions for which collision can occur. We first suppose that one operator may be unaware of any danger and so may control his vehicle in a hazardous fashion. To this operator we assign the role of pursuer, while the operator of the other vehicle is given the role of evader and a differential game is formulated. The set of initial conditions for which collision can occur despite any maneuvers by the evader is a dangerous (Red) zone. Clearly, a cautious pilot would not like a second vehicle to be in his Red zone, and a good collision avoidance system (CAS) should be effective in this zone. A second zone is defined by assigning a passive role (constant control) to the evader, while the other vehicle still pursues. The set of initial conditions for which no collision is possible is a particularly safe zone since no active avoidance is required. Any practical CAS should not call for unnecessary maneuvers in the (Green) zone. The points in neither the Red nor the Green zones form a Yellow zone in which some evasive maneuver may be required. A workable CAS should be active for initial points in the Yellow zone, so that the Red zone can be avoided.

Safety, Reliability and Human Factors in Robotic Systems

Abstract: Overview of robot safety. Reliability and human factors. NIOSH research on robotic safety. Industrial practices for robotic safety. Development of the ANSI/RIA robot safety standard. Reliability and safety in teleoperation. Safety considerations for laboratory automation. A multilevel robot safety and collision avoidance system. An intelligent safety system for robots and automatic machines. A study of worker intrusion into robot work envelope. Reliability based control of intelligent machines.

Automobile automatic collision avoidance system and method

Abstract: The invention relates to the technical field of automobile safety, in particular to an automobile automatic collision avoidance system and a method. The system comprises an information collecting device, a data processing controller, a voice alarming device, a braking output device and a display device, wherein the braking output device comprises a brake control device and a throttle control device, the information collecting device comprises at least two high speed scanning laser radars which are respectively arranged on a automobile head and a automobile tail, and the high speed scanning laser radars are used for detecting the relative distance and the relative speed of the automobile itself and an obstacle. By means of the automobile automatic collision avoidance system and the method, by detecting the relative distance and the relative speed with a front automobile, whether the two automobiles are safe is judged, corresponding alarming or braking measures are taken, the automobile collision is avoided effectively, and the rear-end collisions on a highway are reduced effectively, the driving safety is improved, and the personal safety of a driver when an emergency happens is guaranteed to the maximum extent.