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.

Lane change mode activation method, for use with a motor vehicle automatic cruise control or collision avoidance system, in which the probability of a lane change is monitored to accelerate the changeover to lane change mode

Abstract: A method for recognition of a lane change within the framework of motor vehicle speed regulation system, such as an automatic cruise control (ACC) system. Lane change mode is activated based on the probability of a lane change. An Independent claim is made for device for recognizing a lane change process and activating a lane change mode in a motor vehicle ACC system.

Prediction of instantaneous driving safety in emergency scenarios based on connected vehicle basic safety messages

Abstract: Basic safety message (BSM) is a core subset of standard protocols for connected vehicle system to transmit related safety information via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). Although some safety prototypes of connected vehicle have been proposed with effective strategies, few of them are fully evaluated in terms of the significance of BSM messages on performance of safety applications when in emergency.,To address this problem, a data fusion method is proposed to capture the vehicle crash risk by extracting critical information from raw BSMs data, such as driver volition, vehicle speed, hard accelerations and braking. Thereafter, a classification model based on information-entropy and variable precision rough set (VPRS) is used for assessing the instantaneous driving safety by fusing the BSMs data from field test, and predicting the vehicle crash risk level with the driver emergency maneuvers in the next short term.,The findings and implications are discussed for developing an improved warning and driving assistant system by using BSMs messages.,The findings of this study are relevant to incorporation of alerts, warnings and control assists in V2V applications of connected vehicles. Such applications can help drivers identify situations where surrounding drivers are volatile, and they may avoid dangers by taking defensive actions.

Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System

Abstract: Embedded with sensors and appropriate computational entities, a road intersection can be viewed as a pervasive computing environment. The crash rate in road intersections demonstrates the need for a fast and accurate collision detection system. We suggest that an intersection collision detection system should be able to adapt to different types of intersections for faster collision detection. Moreover, a real-time application-level communication protocol to warn affected drivers is required. An intersection agent that takes vehicular status information from vehicle agents and learns, detects and warns collisions at a road intersection is proposed. The issues, challenges, and cost of a multiagent collision avoidance system are discussed. A communication protocol that is designed specifically with intersection safety in mind is presented here.

The timecourse of driver visual attention in naturalistic driving with adaptive cruise control and forward collision warning

Abstract: Adaptive Cruise Control (ACC) and Forward Collision Warning (FCW) have been shown to have a positive effect on safety-related measures despite a general increase in secondary task involvement To understand this effect, this study examined the relationship between drivers glance locations and ACC hard braking or FCW events when ACC is active The study analyzed naturalistic driving on motorways where the car remained in the same lane Four subsets of driving segments were included: ACC braking (peak deceleration ≥ 3 m/s2), FCW+ACC (driving with ACC when a forward collision warning was issued) ACC maintaining speed, and Driver braking without ACC or FCW The results indicate that although drivers do take their eyes off path more when using ACC, this conclusion seems to be valid only in non-critical (baseline-similar) situations Drivers showed a steady increase in %EyesOnPath well before critical situations, resulting in 95% EyesOnPath both at the onset of ACC braking and at the onset of driver braking, and 98% when FCW were issued At braking onset, headway was significantly longer when ACC braked compared to when the driver braked