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.

Dynamic MAC Protocol Designed for UAV Collision Avoidance System

Abstract: During the formation flight of Unmanned Aerial Vehicles (UAVs), avoiding collision with intruders and other UAVs is very important. A key technique of collision avoidance is the real-time delivery of risk related warning messages among UAVs. In UR-MAC, a frame is composed of contention slots and transmission slots. When there is no warning message, each UAV accesses the channel like a TDMA protocol. Otherwise, the warning messages can contend to occupy any already assigned transmission slot. The UAV with higher emergency level has shorter waiting time to claim to occupy the coming transmission slot. Then the other UAVs choose the proper maneuvers to avoid the forthcoming collisions. The simulation results show that the UR-MAC efficiently reduces the delivery latency of warning messages and the collision probability in a UAV formation.

Active collision avoidance system based on extensible logic and mode switch method thereof

Abstract: The invention provides an active collision avoidance system based on extensible logic and a mode switch method thereof. The active collision avoidance system based on the extensible logic includes a radar, a vehicle speed sensor, a road adhesion coefficient estimator, a signal integration module, an extensible module, a steering module, a braking module and an ECU; and the mode switch method withthe same is based on the extensible logic. During the running of a car, the radar can detect running speed of a front car and a relative distance between the front car and a rear car; the signal integration module can calculate a relative speed and a steering critical distance, an emergency braking critical distance and a danger distance under the relative speed, and a relative distance D and a first-order derivative D-dot of the relative distance of two vehicles are as characteristic quantity to establish a two-dimension extensible set. The ECU can determine a feature pattern and calculates acorrelation function of the feature state, and the collision avoidance pattern is selected according to the correlation function. The active collision avoidance system based on extensible logic and the mode switch method thereof can provide a scientific evidence for selecting of the collision avoidance of intelligent cars, and the safety and the autonomy of autonomous running of the intelligent cars are improved.

Multi-source information fusion for sense and avoidance of UAV

Abstract: Sharing safety airspace is a key issue for UAV and manned aircraft as the development of UAV. In this paper, UAV airspace obstacles sense was thoroughly studied based on multi-source information fusion. Through multi-sensors information fusion technologies, positions and runtime space state of UAV were computed and shared with manned aircraft. Taking advantage of alternative ascendancy of multi-image was to realize all-time, all-weather, remote and high-resolution of target detecting, identifying and tracking. So the run-time and reliabilities of airspace obstacles sense for UAV was improved greatly. Referring the basically working principle of the manned aircraft air traffic alert and collision avoidance system, we determine the aircraft whether fly into a threat to the safety of their own and provide early warning analysis and decision-making by calculating the relevant parameters. Finally, avoid strategies are given according to the actual situation, including avoidance methods and make way mutually.

An efficient automotive collision avoidance system for indian traffic conditions

Abstract: The execution of a wide-ranging accident cautioning system is being visualised by ACAS Program, which is proficient in perceiving and cautioning the driver of potential hazard conditions forward, on the side, and rear sections of the vehicle. The structure would use: (a) long array sensor or visual devices to identify probable hazards in front of the vehicle, (2) short range sensors to caution the driver of nearby objects while changing traffic lanes or backing up, and (3) a track exposure arrangement to alert the motorist when the vehicle deviates from the intended traffic lane. Accident Prevention organisms, as a consequent step to collision mitigation, are one of the Great challenges in the area of active safety for road vehicles. The task of a collision avoidance system is to track objects of potential collision threat and govern any action to evade or diminish a crash. The main focus is how to make decisions based on ambiguous evaluations and in the presence of numerous hurdles. The first step in CA (Collision Avoidance) systems for automotive applications is adaptive cruise control (ACC). The ability of the car to protect its passengers is sometimes called crashworthiness. Generally, a CM (Collision Mitigation) system tries to reduce the severity of the accident as much as possible under some constraints. The situation may be observed with detector sensors, laser radar, vision sensors, ultrasonic sensors, GPS sensors and inter-vehicle communication. FCM (Forward Collision Mitigation) systems mainly try to avoid or mitigate frontal collisions. The CA decision is based on the current position estimate of the host vehicle and those of other objects. The focus is towards the method for determining the threat of a collision given that the state of other objects is known. Two collision mitigation by braking systems are considered for study. One system uses the probability of collision, to decide when to perform braking interventions. The other system has a multiple obstacle decision. The scenarios that are calculated in this segment are primarily those where a CMbB has a large potential of significantly reducing the collision speed. Therefore, the test results of main interest is those between 0 and 70 km/h also for simulations. Hence, this ACAS Program detects the potential hazards, warns the driver and takes action to avoid or mitigate a collision. Keywords: Collision Warning, Decision Making, Collision Mitigation Braking, Tracking Sensors Language: en

Two-armed robot systems-a review of current theory and the development of algorithms for real-time collision avoidance

Abstract: The applications of two-armed robots is discussed and a review carried out of the main control methods. The teleoperation of robotic systems is then discussed and the need for good operator visualisation coupled with minimum work load was identified as the key to system efficiency. The collision problem is discussed and the method of detecting and avoiding collisions are presented. The authors also identify the need for a real-time collision avoidance system suitable for two co-operating teleoperated arms, and develop a kinematics based modelling scheme which could be used for collision detection and avoidance. >