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Lu Tao, Yousuke Watanabe and Hiroaki Takada
Long-term vehicular motion prediction is a crucial function for both autonomous driving and advanced driver-assistant systems. However, due to the uncertainties of vehicle dynamics and complexities of surroundings, long-term motion prediction is never tr...
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José Balsa-Barreiro, Pedro M. Valero-Mora, José L. Berné-Valero and Fco-Alberto Varela-García
Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conducted b...
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Abram Musinguzi, Muhammad K. Akbar, Jason G. Fleming and Samuel K. Hargrove
Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a hurric...
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Guoqing Geng, Zhen Wu, Haobin Jiang, Liqin Sun and Chen Duan
Lane-changing is an important operation of an autonomous vehicle driving on the road. Safety and comfort are fully considered by excellent drivers in lane-changing operation. However, only the kinematic and dynamic constraints are taken into account in t...
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Wolfgang Kühn, Michael Müller, Tom Höppner
Pág. 222 - 229
Vehicles need to recognize and record the roadway and the associated driving area elements with the help of sensors (stereo cameras, radar, lidar, laser scanners etc.) in highly automated driving processes; this information then needs to be converted int...
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Qian (Chayn) Sun, Jianhong (Cecilia) Xia, Jonathan Foster, Torbjörn Falkmer, Hoe Lee
Pág. 2356 - 2372
Close-to-reality vehicle movement trajectory data can be useful in many transport and geography studies when precise vehicle localization or timing is required in the application. Vehicle kinematic tracking by GPS (Global Positioning System) varies in th...
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