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.

Study on the Improvement of a Collision Avoidance System for Curves

Abstract: Conventional autonomous emergency braking (AEB) systems derive the relative distance of a curve using a curvature calculated through an in-vehicle sensor. However, as the AEB system cannot reflect geometric factors of a curve with variable curvature, it does not accurately estimate relative distances, based on which the AEB performance is evaluated. Accordingly, an AEB system reflecting the geometric information of curves needs to be considered and developed to improve the AEB performance for curves. This study proposes a method to improve the performance of AEB systems for curves through curvilinear coordinate conversion, which is used to reflect the geometric information of roads for the navigation of an autonomous vehicle. Both the host and target vehicles are located by means of curvilinear coordinate conversion. The positions thus identified are used to calculate the relative distance and lanes. Finally, the hazard risk criterion—that is, time-to-collision (TTC)—is derived using the proposed AEB system. To demonstrate the effectiveness of the proposed AEB system, this study compares it with the conventional AEB system by analyzing the collision avoidance performance on curves through relative distances and TTC.

Investigation of braking timing of drivers for design of pedestrian collision avoidance system

Abstract: The braking behaviors of drivers when a pedestrian steps out from a sidewalk and into the street were analyzed using a driving simulator. Based on drivers' braking behavior, a braking control timing for a system for avoiding collisions with pedestrians was proposed. In this study, the subject drivers started braking at almost the same time in terms of time to collision (TTC), regardless of the velocity of the subject vehicle and the crossing velocity of the pedestrian. The results of our experiments showed that, to minimize the degree of interference between the driver and the system, the optimum timing at which to apply the braking was at a TTC of 1.3 s. Next, the drivers' braking behavior was investigated when the system controlled the braking to avoid a collision with this timing. The drivers did not exhibit any change in their braking behavior, while there was no excessive interference between the braking control system and the drivers when attempting to avoid a collision with a pedestrian, indicating that the drivers were not becoming excessively dependent on the system.

Neural Networks and Fuzzy Sets Theory for Computer Modeling of Ship Collision Avoidance in Heavy Traffic Zone

Abstract: The paper presents a methodology involving a neural-fuzzy approach capable of preventing ship collision in a heavy traffic zone. It reports on the technique of using a maneuvering plane-table to develop the elements of a training sample. The authors did the research into the simulation modeling of neural-fuzzy networks. The scholars used the lattice method without clustering and the subclustering method to generate them. The hybrid method is turned out to be the most optimal one. The best neural-fuzzy ship collision prevention systems' testing has proved to be able of evaluating the value of changing the ship - operator's route very accurately to avoid ship collision in a heavy traffic zone. Coming too close to each other seems to be dangerous for the ship - operator. The authors identified optimal types of membership functions that were used to generate the input linguistic variables of the neural-fuzzy system for sea-going vessel collision avoidance. The neural-fuzzy collision avoidance system presented in this research is one of the modules of the intelligent safe ship control. The authors are definitely going to keep developing it in the future

General Aviation Collision‐Avoidance Alternatives

Abstract: Midair collisions are often perceived as the number‐one safety issue in aviation. Though the actual incidence of such accidents is (thankfully) small, public perception of the problem, and the government's reaction to it, may threaten the very future of general aviation. Midair collisions are primarily a general aviation problem. Its solution starts with the review of accident statistics and nearmidair report data, an exploration of prior art, and an understanding of the capabilities and limitations of TCAS (Threat alert and Collision Avoidance System), the FAA's supplement to visual traffic avoidance. This paper contemplates the need for an “ideal” general aviation collision avoidance system—one which is selfcontained, noncooperative in nature (requiring no equipment in the “other” plane), transparent to the Air Traffic Control System, and fully compatible with TCAS and all other FAA proposals.