Development of lane departure warning system based on a Dual-Core DSP

Yunjiang, Zhu; Fan, Gang; Wu, Dong Yan

doi:10.1109/tmee.2011.6199245

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…Then the distance between the car and road boundaries was obtained using the pre-measured camera height. A mapping algorithm between the image and road coordinates remapped the detected lanes to the actual roads, but only deviation angles on two dimensions of the camera (i.e., α 0 and β 0 ) were considered [26]. In [27], the ratio of the slopes of the detected left and right lanes represented the degree of lateral offset of the vehicle, and the slopes were calculated using the relation between the world and camera coordinates.…”

Section: Related Workmentioning

confidence: 99%

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Lane Departure Assessment via Enhanced Single Lane-Marking

Luo

Shi

et al. 2022

Sensors

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Vision-based Lane departure warning system (LDWS) has been widely used in modern vehicles to improve drivability and safety. In this paper, a novel LDWS with precise positioning is proposed. Calibration strategy is first presented through a 3D camera imaging model with only three parallel and equally spaced lines, where the three angles of rotation for the transformation from the camera coordinate system to the world coordinate system are deduced. Then camera height is calculated compared to the previous works using a measured one with potential errors. A criterion for lane departure warning with only one of the two lane-markings is proposed to estimate both yaw angle and distance between the lane-markings and the vehicle. Experiments show that calibration strategy can be easily set up and achieve an average of 98.95% accuracy on the lane departure assessment.

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Section: Related Workmentioning

confidence: 99%

“…In [5,26,27], the deviation angles on all three dimensions were not taken into account. This makes the algorithms less reliable since deviation angles of a camera affect the mapping accuracy or vehicle positioning.…”

Section: Contributionsmentioning

confidence: 99%

Lane Departure Assessment via Enhanced Single Lane-Marking

Luo

Shi

et al. 2022

Sensors

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“…According to statistics, 80% of the traffic accidents were caused by the driver's subjective factors, such as driver distraction, negligence, and fatigue [1]. If the warning is given one second ahead of danger, 90% of traffic accidents can be avoided [2]. Thus, reducing traffic accidents caused by the driver factors is the focus of the transportation security.…”

mentioning

confidence: 99%

Design of Lane Departure Warning System Based on ADSP-BF561

Liu¹,

Lang²,

Qiao³

2012

Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012)

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Abstract. Aiming at the problem of more and more traffic accidents which are caused by the driver behaviors, this paper designs a lane departure warning system based on the ADSP-BF561 processor. Vision sensor is used to capture road images, while the driving parameters are collected by the microprocessor. The lane marking detection speed can be more than 25 frames per second. The system is equipped with the test vehicle for hundreds of kilometers on highway, and the results show that this system has a better efficiency and feasibility. IntroductionWith a large increase of the vehicles all over the world, the traffic transportation safety problems have attracted more and more people's extensive attention. According to statistics, 80% of the traffic accidents were caused by the driver's subjective factors, such as driver distraction, negligence, and fatigue [1]. If the warning is given one second ahead of danger, 90% of traffic accidents can be avoided [2]. Thus, reducing traffic accidents caused by the driver factors is the focus of the transportation security. On one hand, drivers need to strengthen their literacy of traffic rules; on the other hand, technical measures should be taken on the driver's dangerous behavior for early warning. The lane departure warning system installed on the vehicle is a very effective way [3].The traditional lane departure warning systems are based on IPC platforms, which are not only bulky and costly, but also not suitable for marking. In this paper, we design a lane departure warning system based on the vision sensor and ADSP-BF561 processor, which has a small, high processing speed. The system will not only be able to solve some illegal behaviors, such as driving across the lane, but also can provide detailed information for the traffic management department to restore the scene of the accident [4].

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Development of lane departure warning system based on a Dual-Core DSP

Cited by 2 publications

References 3 publications

Lane Departure Assessment via Enhanced Single Lane-Marking

Lane Departure Assessment via Enhanced Single Lane-Marking

Design of Lane Departure Warning System Based on ADSP-BF561

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