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 Physical Analysis of an Accident Scenario between Cars and Pedestrians

Abstract: Every year still thousands of people are injured or killed in accidents with cars, trucks and busses. Many of these people are pedestrians or cyclists. Several research groups work on solutions to avoid accidents between cars and pedestrians with the help of different technologies. In this paper we present an innovative approach for a collision avoidance system which should be able to tackle these accidents. To understand the potential of this approach, we will present a physical analysis of the system time available between detection, warning and reaction. We also discuss different architectures of our approach utilizing ad-hoc and/or cellular technologies. Additionally, we present experimental results of connection establishment and ping response times of these wireless technologies.

UAS Safety: Unmanned Aerial Collision Avoidance System (UCAS)

Abstract: Lack of safety and regulatory framework currently prevent the routine use of unmanned aircraft systems (UAS) within the U.S National Airspace System (NAS). Demonstrating a level of safety equivalent to that of manned aircraft will allow UAS to fly and interoperate in civil airspace. An Unmanned Aerial Collision Avoidance System (UCAS) designed to communicate and interact with the Traffic Alert Collision Avoidance System (TCAS) implemented on manned aircraft is proposed. Considering intruding aircraft equipped with TCAS as cooperating aircraft, UCAS will also be able to sense, detect, and avoid non-cooperative aircraft through the use of sensor technology. Simulation and analysis has been carried out to generate a safety metric quantifying the safety of the UCAS system. A Monte Carlo simulation has been performed for a set of outer loop state variables to generate the probability of a near midair collision. A second encounter model is carried out to show the benefits of incorporating the mitigation strategy selected, in this case the collision avoidance capabilities. An existing case study is analyzed to demonstrate the value of the model and the efficiency of the system.

Low-speed collision avoidance system

Abstract: A system and a method for low speed collision avoidance by a vehicle are provided. The low speed collision avoidance system includes an operation control module in communication with a plurality of signal generators for determining a distance to an object, a vehicle velocity, an accelerator position, a brake switch position and a shift position to effect vehicle operation. The system and the method for low speed collision avoidance operate when the vehicle is traveling below a predetermined low velocity and when the vehicle is stopped.

Intersection Collision Avoidance Using Its Countermeasures. Task 9: Final Report: Intersection Collision Avoidance System Performance Guidelines

Abstract: Phase III of the Intersection Collision Avoidance Using ITS Countermeasures program developed testbed systems, implemented the systems on a vehicle, and performed testing to determine the potential effectiveness of this system in preventing intersection crashes. The results are presented in this report in the following chapters: (1) Introduction; (2) Approach; (3) The Intersection Collision Problem; (4) Intersection Collision Avoidance System (ICAS) Testbed Design; (5) ICAS System Specifications; (6) ICAS System Analysis; and (7) Summary and Recommendations.

Improving smartphone based collision avoidance by using pedestrian context information

Abstract: Pedestrians globally comprise 22 % of all road traffic deaths in 2013. Various approaches for reducing accident numbers have already been introduced and are still being researched. Most of these approaches have specific limitations, like requiring line of sight. To overcome these limitations, we propose the Wireless Seat Belt (WSB), a smartphone-based collision avoidance system for pedestrians. Unlike other systems, the WSB uses context information, obtained from a pedestrian's smartphone, not only as additional information but also for using the information to improve the collision detection accuracy. The WSB introduces independent, individual modules for recognizing the pedestrian's direction, position, and speed. We first evaluate the influence of the measurement errors of each module on the missed alarm probability in a typical urban collision scenario using a simulator. Then, the impact of using the pedestrian's context to decrease the missed alarm probability is evaluated. The evaluation is done using the example of a curb detection module. The curb detection is used to infer that the pedestrian has stepped onto the street to correct the pedestrian's position. The results show a decrease of the missed alarm probability by 46.5 % in the scenario considered.