Vehicle forward collision warning algorithm based on road friction

Chen, Tao; Ka, Liu; Wang, Zhenyu; Deng, Gang; Chen, Bin

doi:10.1016/j.trd.2018.04.017

Cited by 24 publications

(7 citation statements)

References 9 publications

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“…Target ranging and anti-collision warning [2] is carried out by obtaining the boundary frame of the previous target.…”

Section: Binocular Ranging and Anti-collision Warning Strategymentioning

confidence: 99%

Auxiliary driving safety alarm system based on IPv6 network technology in high-speed ramp complex field

Ding²,

Jing³

et al. 2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

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In life, I found that the driver is very nervous on the highway, and after the high-speed ramp, it is easy to cause accidents in complex road conditions. Based on this, this paper focuses on the auxiliary driving collision warning system and dangerous driving behavior detection system. Through quantitative transplantation on ARM64 low-power processor, an early warning anti-collision terminal system suitable for an additional driver is designed. By combining the cloud data platform in the IPv6 network, the network communication test and verification of auxiliary driving function in the vehicle networking system are completed. The designed system can meet the basic requirements of supplementary driving anti-collision alarm.

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“…Target ranging and anti-collision warning [2] is carried out by obtaining the boundary frame of the previous target.…”

Section: Binocular Ranging and Anti-collision Warning Strategymentioning

confidence: 99%

Auxiliary driving safety alarm system based on IPv6 network technology in high-speed ramp complex field

Ding²,

Jing³

et al. 2022

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022)

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“…where a hmax is the maximum deceleration of the following vehicle and a fmax is the maximum deceleration of the front vehicle. According to a previous study [11], we assumed that the road friction was negligible and the parameters of a hmax and a fmax were defined as 6 m/s 2 . The critical distance model was established under ideal conditions.…”

Section: B the Fcw Using V2v Communicationmentioning

confidence: 99%

“…Wang et al [10] presented a kinematic-based model to calculate the minimum distance needed to stop safely when both vehicles were moving. Chen et al [11] proposed an FCW model based on road friction. This model described the impact of vehicle deceleration on the collision warning model during braking.…”

Section: Introductionmentioning

confidence: 99%

A Forward Collision Warning System Using Driving Intention Recognition of the Front Vehicle and V2V Communication

Yang

Wan²,

2020

IEEE Access

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A forward collision warning (FCW) system is important for avoiding rear-end collisions. When the front vehicle slows down or the risk of rear-end collision increases, the FCW system sends a warning. However, if the warning is provided too late, the following vehicle may not have enough time to stop or slow down smoothly. Here, we propose a new FCW system that detects the driving intention of the front vehicle to provide earlier warning than previously used systems. The proposed FCW system consists of three steps. First, the driving intention of the front vehicle is determined by the driving intention recognition module. Second, the driving intention and other driving parameters of the front vehicle are transmitted to the following vehicle using vehicle-to-vehicle (V2V) communication. Finally, this information and the driving parameters of the following vehicle are used to determine the potential collision risk by the FCW module located in the second vehicle. To evaluate the proposed system, we conducted a simulation test based on PreScan (commercial software provided by TASS international) and actual road tests in various driving scenarios. The simulation test results demonstrated that the correct warning rate of the proposed system was 97.67%, which was 6.34% higher than that of the system with a fixed time-to-collision (TTC) threshold. The real vehicle test results showed that the proposed system was able to provide earlier warnings than the TTC-based system. The timely warning rate, i.e., the ratio of the number of warnings at the beginning of braking to the total number of warnings was 93.33%. The proposed system proved effective for providing early warning to the following vehicle under different driving conditions of the front vehicle. INDEX TERMS Collision warning, driving intention, hidden Markov model, V2V communication.

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“…Chen and Kao (2004) proposed an adaptive recurrent cerebellar model articulation controller to avoid collision of the carfollowing system. Various different approaches for collision warning systems have been introduced (Ba et al, 2017;Chen et al, 2018;Hubele and Kennedy, 2018;Iranmanesh et al, 2016;Wu et al, 2018), including collision warning and avoidance systems (Cicchino, 2017;Li et al, 2016;Wu et al, 2018), autonomous intelligent cruise control system (Czubenko et al, 2015;Milanés and Shladover, 2014), systems based on expert knowledge (Kim and Bien, 2001), and systems based on artificial intelligence (Goodall, 2014;Hengstler et al, 2016). An intelligent wavelet neural network method was used to control the car-following system (Hsu et al, 2004).…”

Section: Vehicle-to-vehicle Interactionmentioning

confidence: 99%

A review of vehicle active safety control methods: From antilock brakes to semiautonomy

Ahangarnejad

Radmehr

Ahmadian

2020

Journal of Vibration and Control

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A comprehensive review of technologies and approaches for active safety systems designed to reduce ground vehicle crashes, as well as the associated severity of injuries and fatalities, is provided. Active safety systems are commonly referred to as systems that can forewarn a driver of a potential safety hazard, or automatically intervene to reduce the likelihood of an accident without requiring driver intervention. The data from naturalistic drivers has shown that such systems are instrumental in improving vehicle safety in various conditions, particularly at higher speeds and under adverse road conditions. The increased integration of sensors, electronics, and real-time processing capabilities has served as one of the critical enabling elements in the widespread integration of active safety systems in modern vehicles. The emphasis is placed on control approaches for active safety systems and their progression over the years from antilock brakes to more advanced technologies that have nearly enabled semiautonomous driving. A review of key active safety control approaches for antilock braking, yaw stability, traction control, roll stability, and various collision avoidance systems is provided.

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Vehicle forward collision warning algorithm based on road friction

Cited by 24 publications

References 9 publications

Auxiliary driving safety alarm system based on IPv6 network technology in high-speed ramp complex field

Auxiliary driving safety alarm system based on IPv6 network technology in high-speed ramp complex field

A Forward Collision Warning System Using Driving Intention Recognition of the Front Vehicle and V2V Communication

A review of vehicle active safety control methods: From antilock brakes to semiautonomy

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