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Titlebook: Advanced Microsystems for Automotive Applications 2006; Jürgen Valldorf,Wolfgang Gessner Conference proceedings 2006 Springer-Verlag Berli

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樓主: Madison
41#
發(fā)表于 2025-3-28 15:30:13 | 只看該作者
Sofiane Amziane,Ildiko Merta,Jonathan Pageicles. Robust collision mitigation requires a perception performance of an unprecedented degree of reliability, since an erroneous application of emergency braking caused by false alarms would greatly impede road safety improvement not lastly due to the major setback such an incident would represent
42#
發(fā)表于 2025-3-28 19:41:17 | 只看該作者
Sofiane Amziane,Ildiko Merta,Jonathan Pagemic Pass Prediction (DPP) indicates road sections that are not safe for overtaking. By reducing the enormous driver workload before overtaking situations a safer and more comfortable driving is achieved without losing driving pleasure. This example shows how driver assistance systems can take advant
43#
發(fā)表于 2025-3-29 02:06:33 | 只看該作者
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發(fā)表于 2025-3-29 07:07:52 | 只看該作者
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發(fā)表于 2025-3-29 09:21:21 | 只看該作者
46#
發(fā)表于 2025-3-29 12:20:04 | 只看該作者
Wai Hon Chooi,Jiah Shin Chin,Sing Yian Chewd as one key enabler for active safety and fore-sighted driving assistance services. A very prominent example is a local danger warning service. Vehicles instantaneously inform others about critical situations like aquaplaning, accidents or obstacles on the road. The detection of such environmental
47#
發(fā)表于 2025-3-29 16:35:46 | 只看該作者
48#
發(fā)表于 2025-3-29 23:06:51 | 只看該作者
https://doi.org/10.1007/978-1-0716-0943-9rements of this law, several technical principles are under development or had a first product launch recently. The key technologies are weight sensing by measuring strain or displacement or mat solutions either fluid filled or as pattern recognition. This paper presents the Bosch iBolt technology,
49#
發(fā)表于 2025-3-30 01:33:13 | 只看該作者
Andrew N. Osahor,Kumaran Narayananlgorithms are applied. The object classification combines a pattern classifier with rule based a priori knowledge and high level map information. The pattern classifier uses significant features to calculate membership values for each class. These membership values are verified and corrected by a pr
50#
發(fā)表于 2025-3-30 07:23:26 | 只看該作者
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