A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication

Patra, Subhadeep; Veelaert, Peter; Calafate, Carlos T.; Cano, Juan-Carlos; Zamora, Willian; Manzoni, Pietro; González, Fabio A.

doi:10.3390/s18082672

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…In general, such systems monitor the vehicle's speed and the speed of the vehicle in front of it while measuring the distance between the two vehicles to analyze if there is a risk of collision [48]. Monitoring can be achieved using vision-based sensors, GPS, radar, or LiDAR [49].…”

Section: Advanced Driver-assistance Systemmentioning

confidence: 99%

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Chan

Chin

2021

Electronics

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With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first covers enabling technology involving a vehicle moving out of parking, traveling on the road, and parking at the destination. The development of autonomous vehicles relies on the data collected for deployment in actual road conditions. Research gaps and recommendations for autonomous intelligent vehicles are included. For example, a sudden obstacle while the autonomous vehicle executes the parking trajectory on the road is discussed. Several aspects of social problems, such as the liability of an accident affecting the autonomous vehicle, are described. A smart device to detect abnormal driving behaviors to prevent possible accidents is briefly discussed.

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Section: Advanced Driver-assistance Systemmentioning

confidence: 99%

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Chan

Chin

2021

Electronics

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“…Yang et al [ 24 ] proposed an FCWS combining differential global positioning system (DGPS) and DSRC. Patra et al [ 25 ] proposed a novel FCWS, in which GPS provides the relative positioning information, and vehicles communicate through a vehicular network integrated with smartphones. In general, CCWS can overcome the limitations of the in-vehicle sensor-based CWS by sharing information such as vehicle speed, location, and angle to surrounding vehicles.…”

Section: Introductionmentioning

confidence: 99%

A Novel V2V Cooperative Collision Warning System Using UWB/DR for Intelligent Vehicles

Wang

Chen

Jin

et al. 2021

Sensors

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The collision warning system (CWS) plays an essential role in vehicle active safety. However, traditional distance-measuring solutions, e.g., millimeter-wave radars, ultrasonic radars, and lidars, fail to reflect vehicles’ relative attitude and motion trends. In this paper, we proposed a vehicle-to-vehicle (V2V) cooperative collision warning system (CCWS) consisting of an ultra-wideband (UWB) relative positioning/directing module and a dead reckoning (DR) module with wheel-speed sensors. Each vehicle has four UWB modules on the body corners and two wheel-speed sensors on the rear wheels in the presented configuration. An over-constrained localization method is proposed to calculate the relative position and orientation with the UWB data more accurately. Vehicle velocities and yaw rates are measured by wheel-speed sensors. An extended Kalman filter (EKF) is applied based on the relative kinematic model to combine the UWB and DR data. Finally, the time to collision (TTC) is estimated based on the predicted vehicle collision position. Furthermore, through UWB signals, vehicles can simultaneously communicate with each other and share information, e.g., velocity, yaw rate, which brings the potential for enhanced real-time performance. Simulation and experimental results show that the proposed method significantly improves the positioning, directing, and velocity estimating accuracy, and the proposed system can efficiently provide collision warning.

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“…A neural network-based collision warning model was proposed to improve the system performance. Patra et al [29] presented an FCW system for smartphones. This FCW system used license plate recognition and vehicleto-vehicle (V2V) communication to warn the drivers of both vehicles.…”

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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A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication

Cited by 13 publications

References 20 publications

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

A Novel V2V Cooperative Collision Warning System Using UWB/DR for Intelligent Vehicles

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

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