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.

Traffic alert & collision avoidance system

Abstract: I n theory, the traffic alert collision avoidance system (TCAS) has been around since the late 1950s, but from a practical standpoint since the time of the FAA's initial focus in 1981, then its mandate of 1993. The FAA wanted a new system to help provide conflict resolution in the National Airspace System. Even today, when the airspace capacity still is determined by air traffic control (ATC) workload, TCAS adds one more layer of safety into the system. The TCAS system actually gave legs to the Mode S transponder, which never got a foothold in the market because of a lack of display options and mandates. The re-introduction of the Mode S transponder as part of this system has given the general aviation market further benefits at little cost. The emergence of the traffic information service (TIS), which provides even non-mandated-type aircraft with ATC-like traffic information in terminal areas, was a huge safety benefit. This article provides additional insight into what happens " under the cover " of a typical TCAS II system. What is TCAS? TCAS is a predictive warning system that falls in the category of the airborne collision avoidance system (ACAS) and is a proprietary part of that system. TCAS uses the secondary surveillance radar (SSR) transponder returns it receives, along with its own selective interrogations, to determine presence of a possible conflict. In the beginning, it was a massive undertaking just to come up with a software language and the proper computer modeling to prove out what the system should do and how it would do it. After several mid-air accidents, there was an industrywide commitment to get a system implemented. One of the core principals to evolve during system development was that time to the threat aircraft (intruder) was more important than distance. The system processor must constantly evaluate a specific volume of airspace and the geometry around it to solve any possible conflicts that may arise within the airspace. The system must generate its own 1030 Mhz interrogations selectively to provide this level of safety. While the system provides alerting information on any SSR target, the traffic avoidance alerts it provides to the pilot are possible only with other aircraft that provide Mode C and Mode S information. The Mode S transponder pseudo-randomly radiates (squitter) its unique Mode S address omni-directionally once per second to let its presence be known to other like-equipped aircraft. …

Fuzzy Logic Eased Collision Avoidance System for Autonomous Navigation Vehicle

Abstract: In order to decrease the accidental traffic in the real world, many kinds of research in the advanced driver-assistance systems (ADAS) programs have been made. Pre-defined path tracking with obstacle avoidance is one of them and hasn’t been fully automated yet. In this paper, a fuzzy logic controller approach is proposed for collision avoidance safety system (CAS) with self-driving vehicle navigation control. The navigation controller gives the desired tires angle to keep our vehicle on right track till reaching goal point while processing the 2D laser information in case of obstacle or pedestrian detection leading to safety maneuvering or suddenly stop. Experimental work was performed on GAZEBO simulation tool and the controller was designed and implemented on MATLAB Simulink. The results show that the controller provides a significant improvement in decision making while navigation.

Method for operating a collision avoidance system or collision sequence reducing system of a vehicle, and collision avoidance system or collision sequence reducing system

Abstract: The invention relates to a method for operating a collision avoidance system of a collision sequence reducing system of a vehicle (10). An available driving area which is between the vehicle (10) and a potential collision object (11, 20) is detected and a first warning signal and/or information function is activated when a first threshold value (12) is reached. According to the invention, system intervention with autonomous partial braking combined with at least one additional safety measure is actuated when a second threshold value (13) is reached. The invention also relates to a collision avoidance system or collision sequence reducing system for a vehicle.

Fuzzy Controller Network for Robot Driving of an Autonomous Vehicle

Abstract: A Collision Avoidance System (CAS), which overrules the driver in a critical situation, by steering and/or braking has to be better and more reliable than the driver himself. The driving maneuver is complex and difficult to calculate by traditional mathematical models. Therefore, an ACC car with extended sensors for object detection and a human driver were taken in order to get the data how the driver avoids the Collision with a fixed object in the driving lane. Afterwards, this data was used in order to develop a Fuzzy Controller Network of full Collision Avoidance for fixed objects. The effectiveness and the robustness of the more than 300 rules of the Fuzzy Controller Network were tested by using the same ACC car, but driven by a robot on the driver seat. The result of these tests are presented in this paper.