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.

Fuzzy control system for a mobile robot collision avoidance

Abstract: Mobile robots are widely employed in fully automatic factories and FMS to carry out various kinds of transportation tasks. While they are working mobile robots have to recognize the environment and to avoid colliding-accidents First of all, this paper discuss the principles of ultrasonic ranging. This paper then presents a detecting method by using ultrasonic sensor array and to install the array on a mobile robot. Not only can it detect the distance and the direction from the obstacles but it can also detect the shape of the obstacles. On the other hand in this paper, the actions taken by a human driver to avoid collision accidents while driving a car are analyzed. Based on these analyses, the author proposes to adopt the fuzzy control strategy to design the environment recognition and collision avoidance system for the mobile robots. >

An Optimal Control Approach to Aircraft Automatic Ground Collision Avoidance

Abstract: The US Air Force recently elded the F-16 Automatic Ground Collision Avoidance System (Auto GCAS). This system meets the operational requirements of being both aggressive and timely, meaning that extremely agile avoidance maneuvers will be executed at the last second to avoid the ground. This small window of automatic operation maneuvering in close proximity to the ground makes the problem challenging. There currently exists no similar Auto GCAS for manned military `heavy' aircraft with lower climb performance such as transport, tanker, or bomber aircraft. The F-16 Auto GCAS recovery is a single pre-planned roll to wings-level and 5-g pull-up which is very e ective for ghters due to their high g and climb performance, but it is not suitable for military heavy aircraft. This research proposes a new optimal control approach to the ground collision avoidance problem for heavy aircraft by mapping the aggressive and timely requirements of the automatic recovery to the optimal control formulation which includes lateral maneuvers around terrain. This novel mapping creates two ways to pose the optimal control problem for Auto GCAS; one as a Max Distance with a Timely Trigger formulation and the other as a Min Control with an Aggressive Trigger formulation. Further, the optimal path and optimal control admitted by these two formulations are demonstrated to be equivalent at the point the automatic recovery is initiated for the simpli ed 2-D case. The Min Control formulation is demonstrated to have faster computational speed.

Driving record vehicle collision avoidance system

Abstract: The utility model discloses a driving record vehicle collision avoidance system, including the distance and velocity measurement device, brake pedal position sensor, acceleration sensor, an alarm device, brake actuator, and a processo, reach the GPS navigation who is connected with the treater, vehicle event data recorder, a data memory, the treater uses GPS navigation respectively, these information are stocked in data memory to geographical positional information of vehicle among the vehicle event data recorder and monitor message, the distance and velocity measurement device is including the millimeter wave radar sensor and the ultrasonic wave radar sensor that install at the locomotive, install at the left infrared sensor of vehicle, install the infrared sensor on the vehicle right side, the infrared sensor who installs at the rear of a vehicle. The utility model discloses can carry out the record to the driving condition that has the potential accident hazard of traveling, and all adopt the anticollision technique on four sides to the vehicle.

A Real-Time Reconfigurable Collision Avoidance System for Robot Manipulation

Abstract: Intelligent robotic systems are becoming fundamental actors in industrial and hazardous facilities scenarios. Aiming to increase personnel safety and machine availability, robots can help perform repetitive and dangerous tasks which humans either prefer to avoid or are unable to do because of hazards, space constraints or the extreme environments in which they take place, such as outer space or radioactive experimental areas. Teleoperated robots need user friendly and safety tools to be safely operated in harsh environments where the intervention scenarios are unstructured and most of the time dangerous for human intervention. In many robotic interventions in harsh environments, a dual arms robotic system is needed to perform difficult task such as cutting, drilling etc. To ensure the safety of the robotic system and the machines to be tele-manipulated, as well as increasing the uptime of the plants, a real-time reconfigurable self-collision avoidance system coupled to a virtual augmented reality scenario is fundamental to help the operator during the intervention. In addition, it is important to provide to the operator a uniform control system, in order to not create confusion when several operations are performed using different robotic platforms. For this reason, it is vital that the self-collision avoidance system is adaptable to the current robot hardware and software configurations. In this paper, a novel reconfigurable collision avoidance system for robot manipulation running in real time is presented. The novelty of the proposed solution is the capability to be adaptable to different robots configuration and installation taking into account different parameters like the type and the number of robotic arms, as well as their orientation. The novel system is able to avoid collision not only within the robot itself, but it can avoid collision also with external unexpected objects. The structure of the novel solution is presented, as well as its validation in the CERN accelerators facilities.

Autonomous collision-avoidance system and method for unmanned surface boat group

Abstract: The invention provides an autonomous collision-avoidance system and method for a surface unmanned vehicle group The autonomous collision-avoidance system includes a motion manipulation module, a wireless communication module, a data collection processing module and a collision avoidance decision-making module, and can completing navigation attitude information acquisition, analysis and processingof surrounding unmanned vehicles and the development of a collision avoidance decision; respective functions of the motion control module, the wireless communication module, the data collection and processing module and the collision avoidance decision-making module are used to achieve the function of collision-avoidance of the unmanned vehicle group from the unmanned vehicle group in an open water area; and a dynamic grouping algorithm and the same group following algorithm are used to complete unmanned vehicle traffic flow generation and unmanned vehicle group avoidance in a collision avoidance process, and finally each unmanned vehicle can safely pass The invention can realize the collision avoidance of the unmanned surface vehicle in the complex situation, and adjusts the avoidance decision according to the change of the navigation situation, thereby realizing the autonomous collision avoidance of the unmanned vehicle