Influence of lane departure warnings onset and reliability on car drivers' behaviors

Navarro, Jordan; Deniel, Jonathan; Yousfi, Elsa; Jallais, Christophe; Bueno, Mercedes; Fort, Alexandra

doi:10.1016/j.apergo.2016.08.010

Cited by 35 publications

(18 citation statements)

References 66 publications

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“…Therefore changes in driver performance due to errors in the LKAS may follow similar patterns to those for LDWS degradation. The influence of LDWS reliability on acceptance has been studied by Navarro et al (2017) in which reliable LDWS was found to improve the driver's steering behavior with more effective recovery maneuvers to lane departures. However, late or missing warnings caused the driver to perform similarly to having no warning.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of lane keeping assist system camera misalignment on driver behavior

Romano

Maggi

Hirose

et al. 2020

Journal of Intelligent Transportation Systems

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This research investigated the impact of sensor camera misalignment on the quality of the lane keeping assistance, end user experience and driving performance. Testing was performed with 16 participants, both males and females, with an age range from 25 to 35. The Lane Keeping Assist System (LKAS) errors in lateral offset ranged from À0.66 m to 0.66 m and testing was performed on two roads. The results indicated that introducing an error in the LKAS system of 0.66 m caused the mean lane position of the vehicle to move in a similar direction by 0.1 m while some individuals showed as much as a 0.2 m change in their lateral position. Increases in error in the camera misalignment also increased the number of steering reversals indicating that the drivers worked harder to stay in their lane.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of lane keeping assist system camera misalignment on driver behavior

Romano

Maggi

Hirose

et al. 2020

Journal of Intelligent Transportation Systems

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“…over the past few years, Advanced Driver Assistance Systems (ADAS) has emerged as an important research field to enhance automotive safety [1]. With the objective of traffic accidents avoidance, ADAS include a lane departure warning to alert drivers to take a corrective action when the vehicle tends to drift off a lane.…”

Section: Introductionmentioning

confidence: 99%

A Lane Tracking Method Based on Progressive Probabilistic Hough Transform

et al. 2020

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Lane departure warning systems have gained considerable research interest in the past decade for its promising usage in automotive, where lane detection and tracking is applied. However, it is a challenging task to improve the robustness of lane detection due to environmental factors, such as perspective effect, possible low visibility of lanes, and partial occlusions. To deal with these issues, we propose a reliable vision-based real-time lane markings detection and tracking system that can adapt to various environmental conditions. The lane detection is composed of three stages: pre-processing, Adaptive Region of Interest (AROI) setting, and lane marking detection and tracking. In the pre-processing stage, smoothing and edge detection operators are applied on input frames to automatically obtain binary images, then, lane markings segmentation are carried out. After that, An Adaptive Region of Interest is extracted to reduce the computational complexity. In the subsequent detection stages, Kalman filter is employed to track road boundaries detected in the AROI using Progressive Probabilistic Hough Transform (PPHT) in the next frame. Based on road boundaries and the vehicle's position, the proposed algorithm decides if the vehicle has drifted off the lane. For the performance evaluation of lane detection and tracking, real-life datasets for both urban roads and highways in various lighting conditions are used. Applying our method to Catltech dataset, the average correct detection rate is 93.82%. In addition, the proposed method outperforms that of the state-of-the-art methods in processing time (21.54ms/frame). INDEX TERMS Advanced driving assistance systems (ADAS), lane detection and tracking, lane departure warning system (LDWS), progressive probabilistic Hough transform (PPHT), adaptive region of interest (AROI).

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“…Different researchers have developed advanced assistance systems to alert the driver of a potential collision (Biondi, Strayer, Rossi, Gastaldi, & Mulatti, 2017;Lylykangas, Surakka, Salminen, Farooq, & Raisamo, 2016;Navarro et al, 2017). Schwarz and Fastenmeier (2017)) conducted a driving simulator study with 88 participants.…”

Section: Introductionmentioning

confidence: 99%

Implementation of two robotic flagmen controlled by CAN messages to increase the safety of human workers in road maintenance

Lopez-Flores

Ramirez-Alonso

Aguirre-Prieto

et al. 2020

JART

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Commonly, the improper signaling in road construction zones is the cause of different accidents to drivers, pedestrians, and road construction workers. The signaling used when a vehicle is approaching a repairing section could be classified into two classes: stationary or active. Nevertheless, active warning systems have demonstrated to reduce accidents in road work zones. Within the active signaling class we have: portable changeable message sign, flashing arrow signs, flagman, to mention some. This paper describes the implementation of two robotic flagmen controlled by the Controller Area Network (CAN) protocol. Each robotic flagman can perform four different actions: speed reduction (right and left) and lane change (right and left). The electronic circuitry and mechanical motors of the two robotic flagmen have the option to be powered by a solar charging system considering working zones where there is no access to the electric grid. The solar charging system guarantees a sufficient electrical power supply for night conditions operations. Also, the CAN protocol can be used to monitor the correct operability of the robotic flagmen thus eliminating the need to incorporate more expensive electronic devices such as cameras. The hardware combination in the control, monitoring, and solar charging system allow us to propose a low-cost practical implementation. The results of our implementation show that the longest response time of the robot is less than 850 ms once that the CAN message has been sent to the network. This demonstrates that our proposal can meet real-time implementation requirements.

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Influence of lane departure warnings onset and reliability on car drivers' behaviors

Cited by 35 publications

References 66 publications

Impact of lane keeping assist system camera misalignment on driver behavior

Impact of lane keeping assist system camera misalignment on driver behavior

A Lane Tracking Method Based on Progressive Probabilistic Hough Transform

Implementation of two robotic flagmen controlled by CAN messages to increase the safety of human workers in road maintenance

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