• Title/Summary/Keyword: Forward collision warning system

Search Result 33, Processing Time 0.032 seconds

Forward Collision Warning System based on Radar driven Fusion with Camera (레이더/카메라 센서융합을 이용한 전방차량 충돌경보 시스템)

  • Moon, Seungwuk;Moon, Il Ki;Shin, Kwangkeun
    • Journal of Auto-vehicle Safety Association
    • /
    • v.5 no.1
    • /
    • pp.5-10
    • /
    • 2013
  • This paper describes a Forward Collision Warning (FCW) system based on the radar driven fusion with camera. The objective of FCW system is to provide an appropriate alert with satisfying the evaluation scenarios of US-NCAP and a driver acceptance. For this purpose, this paper proposed a data fusion algorithm and a collision warning algorithm. The data fusion algorithm generates information of fusion target depending on the confidence of camera sensor. The collision warning algorithm calculates indexes and determines an appropriate alert-timing by using analysis results of manual driving data. The FCW system with the proposed data fusion and collision warning algorithm was investigated via scenarios of US-NCAP and a real-road driving. It is shown that the proposed FCW system can improve the accuracy of an alarm-timing and reduce the false alarm in real roads.

Modeling of Forward Collision Warning and Avoidance System (전방 충돌경보 및 회피시스템 모델링)

  • 오병근;조남효
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.3 no.2
    • /
    • pp.156-165
    • /
    • 2000
  • This paper describes modeling and simulation of automotive forward collision warning and avoidance system using CASE(Computer-Aided Systems Engineering) tool. The system is composed or many sensors, a controller, warning devices, brakes and etc. The system was modeled by one activity chart, fourteen state charts and one module chart. Rear-end collision scenarios was generated by Simulink and used to support Stalemate model. The resulting model was used to evaluate the correctness of function and behavior of the system. A simulator for the system has been designed and used to validate the model under realistic operating conditions in the laboratory. To model and simulate the system's functionality and behavior brings clarity to system design early in the system development.

  • PDF

Evaluation System for Forward Vehicle Collision Warning System (전방차량충돌경고장치(FVCWS) 평가 시스템)

  • Yong, Boo-Joong;Park, Yo-Han;Yoon, Kyong-Han;Hwang, Duk-Soo
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.15 no.3
    • /
    • pp.85-90
    • /
    • 2007
  • The main function of the Forward Vehicle Collision Warning System (FVCWS) is to warn a driver when he or she experiences dangerous situations caused by a forward vehicle. Warning distance algorithms under same dangerous circumstances are often various depending on automobile manufacturers and component suppliers. Human factors also should be considered to warn the driver at an adequate warning distance. Therefore, it is necessary to develop a system for evaluating the pertinent warning timing in an identically dangerous situation. The system consists of sensors for measuring speed and acceleration of subject vehicle and target vehicle, controllers to follow the velocity profile properly, and wireless telecommunication equipments for receiving or transmitting the measured data in a real-time. According to actual field tests, it is shown that the developed system is suitable to evaluate warning distance of FVCWS.

A Interval Distance Calculation and Forward Collision Warning Algorithm for Vehicle Safety Communications on a Highway (고속도로에서 차량 안전 통신을 위한 거리 계산과 전방충돌사고경보 알고리즘)

  • Oh, Sang Yeob
    • Journal of Digital Convergence
    • /
    • v.10 no.10
    • /
    • pp.295-300
    • /
    • 2012
  • Various forward collision warning algorithms have studied in order to protect a car accident. For this, in general, algorithms using an external device such as a camera and sensor generate a forward collision warning. However, if using the external device, it can occur errors due to device characteristics when there is rain or fog. Also, the prevention of a chain-reaction collision is insufficient because the system generates a warning in case of only vehicle having a forward collision danger. If it combines the vehicle safety communications, the method becomes a solution to protect a chain-reaction collision. So, In this paper, we proposes a improved forward collision warning algorithm using the wireless communication technique, driver's information, breaking distance, and velocity. And we compare and analyze our algorithm and previous algorithms.

New Vehicle Collision Warning Algorithm Based On Fuzzy Logic (퍼지 논리에 기반한 차량 충돌 경보 알고리듬)

  • 김선호;오세영
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.7 no.8
    • /
    • pp.233-247
    • /
    • 1999
  • Traffic accidents are normally caused by late or faulty judgements due to the driver's inaccurate estimation of the distance, velocity, and acceleration from the surrounding vehicles as well as his carelessness or inattention. Thus, the development of collision avoidance systems is motivated by their great potential for increased vehicle safety. A typical collision avoidance system consists of the forward-looking sensor, the criteria for activation of collision warming and avoidance, the collision avoidance maneuvers, and the user interface. This thesis is concerned with the development of a collision warning algorithm in which the driver is warned of approaching collision with the visual and/or the audible signals . The warning algorithm based on fuzzy logic is presented here based on new warning criteria. It has been newly derived from the conventional warning equation by adding a new input variable of the required deceleration to avoid collision. The algorithm is also able to adapt to the individual driver's taste along with the different road conditions by externally controlling the warning intensity. Finally , the proposed algorithm has been validated using computer simulation.

  • PDF

Identifying the effects of advanced warning devices on the driving behaviors of commercial vehicle drivers (첨단경고장치가 사업용 차량 운전자의 운전행태에 미치는 영향 분석)

  • Park, Jae-Young;Kim, Do-Gyeong
    • International Journal of Highway Engineering
    • /
    • v.20 no.1
    • /
    • pp.137-146
    • /
    • 2018
  • PURPOSES : This study aims to analyze how the installation of advanced warning devices affects individual drivers' driving behaviors with operating record data collected from 100 vehicles. METHODS : With collected data, the changes in individual drivers' driving behaviors, such as Forward Collision Warning (FCW) and Lane Departure Warning (LDW), were investigated with respect to the cumulative distance traveled and driving time. For the analysis, operating record data collected from 100 vehicles for seven months were used. RESULTS : The results showed that individual drivers' driving behaviors could be categorized into six different types. In addition, most of the drivers showed unstable warning patterns in the initial stage after installation of an advanced warning device. Approximately 40% of vehicles equipped with advanced warning systems were found to have positive effects, indicating that the frequencies of both FCW and LDW had been continuously decreasing after installation of the system. CONCLUSIONS : The warning device might be helpful for making drivers' driving behaviors safer. Driving behaviors during the initial stage of the system installation, which might be regarded as an adaptation phase, were found to be very unstable compared with normal situations, indicating that adequate education and training should be provided to all the drivers to prevent operator disruption at the initial installation of the system.

Vision-based Real-time Vehicle Detection and Tracking Algorithm for Forward Collision Warning (전방 추돌 경보를 위한 영상 기반 실시간 차량 검출 및 추적 알고리즘)

  • Hong, Sunghoon;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.25 no.7
    • /
    • pp.962-970
    • /
    • 2021
  • The cause of the majority of vehicle accidents is a safety issue due to the driver's inattention, such as drowsy driving. A forward collision warning system (FCWS) can significantly reduce the number and severity of accidents by detecting the risk of collision with vehicles in front and providing an advanced warning signal to the driver. This paper describes a low power embedded system based FCWS for safety. The algorithm computes time to collision (TTC) through detection, tracking, distance calculation for the vehicle ahead and current vehicle speed information with a single camera. Additionally, in order to operate in real time even in a low-performance embedded system, an optimization technique in the program with high and low levels will be introduced. The system has been tested through the driving video of the vehicle in the embedded system. As a result of using the optimization technique, the execution time was about 170 times faster than that when using the previous non-optimized process.

Vehicles Auto Collision Detection & Avoidance Protocol

  • Almutairi, Mubarak;Muneer, Kashif;Ur Rehman, Aqeel
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.3
    • /
    • pp.107-112
    • /
    • 2022
  • The automotive industry is motivated to provide more and more amenities to its customers. The industry is taking advantage of artificial intelligence by increasing different sensors and gadgets in vehicles machoism is forward collision warning, at the same time road accidents are also increasing which is another concern to address. So there is an urgent need to provide an A.I based system to avoid such incidents which can be address by using artificial intelligence and global positioning system. Automotive/smart vehicles protection has become a major study of research for customers, government and also automotive industry engineers In this study a two layered novel hypothetical approach is proposed which include in-time vehicle/obstacle detection with auto warning mechanism for collision detection & avoidance and later in a case of an accident manifestation GPS & video camera based alerts system and interrupt generation to nearby ambulance or rescue-services units for in-time driver rescue.

Estimation of Traffic Safety Improvement Effect of Forward Collision Warning (FCW) (전방충돌경보(FCW)의 교통안전 증진효과 추정)

  • Kim, Hyung-kyu;Lee, Soo-beom;Lee, Hye-rin;Hong, Su-jeong;Min, hye-Ryung
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.20 no.2
    • /
    • pp.43-57
    • /
    • 2021
  • The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the amount of change with and without the Forward Collision Warning was measured. The experimental scenarios included a sudden stop event (1) of the vehicle in front of the driver and an event (2) in which the vehicle intervened in the next lane. All experiments were divided into day and night. As a result of the analysis, response time and the deceleration rate decreased when the forward collision warning system was installed. It was analyzed that the driver's risk situation could be detected quickly and the number of front-end collisions could be reduced as a result. Reflecting the driver's operating habits and diversifying the experimental scenarios will increase the installation effectiveness of ADAS and be used to estimate the effectiveness of other technologies.