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181“…Here we show that this situation possibly led to the sub-optimal design of a lane departure warning system (AFIL, PSA Peugeot Citroën) implemented in commercially available automobile vehicles. …”
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182por Semeida, Ahmed M.“…The paper presents an analysis of roadway factors and posted speed limits that affect the operating speed at multi-lane highways in Egypt. Field data on multi-lane highways in Egypt are used in this investigation. …”
Publicado 2013
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183“…We investigated the visual factors associated with static lane edge information that may affect these perceptions. …”
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184“…This study reports novel hybrid computational methods for the solutions of nonlinear singular Lane–Emden type differential equation arising in astrophysics models by exploiting the strength of unsupervised neural network models and stochastic optimization techniques. …”
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185por Cáceres Hernández, Danilo, Kurnianggoro, Laksono, Filonenko, Alexander, Jo, Kang Hyun“…Thirdly, the following lane marking information is extracted: the number of lane markings to both sides of the vehicle, the respective fitting model, and the centroid information of the lane. …”
Publicado 2016
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186por Lee, Chin-Fei, Li, Zhi-Yun, Ho, Paul T. P., Hirano, Naomi, Zhang, Qizhou, Shang, Hsien“…It shows a prominent equatorial dark lane sandwiched between two brighter features due to relatively low temperature and high optical depth near the disk midplane. …”
Publicado 2017
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188“…Lane detection plays an important role in improving autopilot’s safety. …”
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189por Vinckenbosch, F. R. J., Vermeeren, A., Verster, J. C., Ramaekers, J. G., Vuurman, E. F.“…In total, 717 on-the-road tests performed by 315 drivers were subjected to an automated algorithm to detect occurrences of lane drifts. Lane drifts were defined as deviations > 100 cm from the mean (LD(mlp)) and from the absolute lateral position (LD(alp)) for 8 s. …”
Publicado 2020
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190por Elhenawy, Mohammed, Glaser, Sébastien, Bond, Andy, Rakotonirainy, Andry, Demmel, Sébastien, Masoud, Mahmoud“…Therefore, in this paper, we propose a framework to test lane change and C-ITS dependency. In this framework, we train a random forest classifier using data collected from the IMU to detect lane changes. …”
Publicado 2020
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193“…This paper presents a shared steering control framework for lane keeping and obstacle avoidance based on multi-objective model predictive control. …”
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194por Austin, Scarlett, Kobrin, Dale, Villgran, Vipin, Nestasie, Michael, Chen, Feifan, Hardman, Brent, Malik, Khalid“…Lane Hamilton Syndrome is the rare association of idiopathic pulmonary hemosiderosis and Celiac Disease. …”
Publicado 2021
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195por Mahlberg, Justin A., Sakhare, Rahul Suryakant, Li, Howell, Mathew, Jijo K., Bullock, Darcy M., Surnilla, Gopi C.“…Pavement markings are used to delineate the boundaries of the lane the vehicle is driving within. These markings are also used by original equipment manufacturers (OEM) for implementing advanced safety features such as lane keep assist (LKA) and eventually autonomous operation. …”
Publicado 2021
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196“…Sensitivity analyses test the effect of road lane count and bus occupancy on MFEL design and management, where the road with more lanes is more flexible to accommodate increased passenger demand without increasing HOV critical occupancy or LOV price rate. …”
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198“…The prediction of lane-change behavior is a challenging issue in intelligent and connected vehicles (ICVs), which can help vehicles predict in advance and change lanes safely. …”
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199por Woo, Joo, Jo, So-Hyeon, Byun, Gi-Sig, Kim, Sun-Young, Jee, Seok-Geun, Seong, Ju-Hyeon, Jeong, Yeon-Man, Jeong, Jae-Hoon“…The tunnel environment was built using LEDs with three color temperatures, and to solve nonlinear problems such as lane positioning from chromaticity analysis, a single input single output fuzzy algorithm was developed to estimate the position of an object on lanes using chromaticity values of signals measured by RGB sensors. …”
Publicado 2022
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200“…In order to improve vehicle driving safety in a low-cost manner, we used a monocular camera to study a lane-changing warning algorithm for highway vehicles based on deep learning image processing technology. …”
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