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Titlebook: Data and Mobility; Transforming Informa Julia Düh,Hartwig Hufnagl,Hans Sch?negger Conference proceedings 2010 Springer Berlin Heidelberg 20

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樓主: Alacrity
31#
發(fā)表于 2025-3-27 00:40:42 | 只看該作者
Maintenance Decision Support System (MDSS) ASFINAG / Austria,ering quality winter maintenance services. In order to increase road safety and optimize traffic flow, high quality prediction and sensor technologies are required as well as appropriate winter service treatments at the right time. Given the complexity of meteorological, traffic and winter service p
32#
發(fā)表于 2025-3-27 01:29:18 | 只看該作者
METIS,r in-formation sources, e.g. road weather stations, remote sensing products, traffic cameras, weather forecasts etc., and presents the information using maps, animations, images, graphs, tables and text with emphasis on the present and future weather situation on the roads. METIS is complex yet user
33#
發(fā)表于 2025-3-27 08:51:02 | 只看該作者
Naturalistic Driving,ious aspects of their driving behavior in an unobtrusive way and without the presence of a test supervisor. This includes aspects of vehicle movement, driver behavior, and the direct environment. Naturalistic observations of pedestrians and cyclists can be carried out using site-based fixed cameras.
34#
發(fā)表于 2025-3-27 09:33:07 | 只看該作者
35#
發(fā)表于 2025-3-27 17:20:52 | 只看該作者
Road Weather Information Service in Finland,ed road weather has been available to road users since the 1990s and along with developments in technology and service provision, the quality of the information provided to the road users has improved over time. While the overall successfulness of the road weather information service has been analyz
36#
發(fā)表于 2025-3-27 21:18:18 | 只看該作者
37#
發(fā)表于 2025-3-27 23:04:09 | 只看該作者
38#
發(fā)表于 2025-3-28 03:19:42 | 只看該作者
39#
發(fā)表于 2025-3-28 08:31:44 | 只看該作者
Keizo Kato,Yin Li,Abhinav Guptal of significantly reducing the efforts required for manual training in data labeling and autonomously adapting the classifiers to changing scenarios. Our system consists of a robust visual online boosting classifier that allows for continuous learning. We also incorporate an audio sensor as an addi
40#
發(fā)表于 2025-3-28 11:39:55 | 只看該作者
Yang Shen,Bingbing Ni,Zefan Li,Ning Zhuangents for this driver model within a professional vehicle dynamics package (multi-body simulation). These use cases extend from ”straight line acceleration” to complex driving maneuvers, such as the ”3-point-turn”, i.e. changing driving direction on a road that is narrower than the turning radius of
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