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Titlebook: Handbook of Driver Assistance Systems; Basic Information, C Hermann Winner,Stephan Hakuli,Christina Singer Living reference work 2020Latest

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发表于 2025-3-21 19:13:47 | 显示全部楼层 |阅读模式
书目名称Handbook of Driver Assistance Systems
副标题Basic Information, C
编辑Hermann Winner,Stephan Hakuli,Christina Singer
视频videohttp://file.papertrans.cn/422/421183/421183.mp4
概述Offers a compendium on all relevant activities on the Advanced Driver Assistance Systems.Leads the readers to deep comprehension of principles for the existing solutions.Presents a system‘s approach
图书封面Titlebook: Handbook of Driver Assistance Systems; Basic Information, C Hermann Winner,Stephan Hakuli,Christina Singer Living reference work 2020Latest
描述This fundamental work explains in detail the driver assistance systems for active safety and driver assistance, considering both their structure and their function. These include the well-known standard systems such as Anti-lock braking system (ABS), Electronic Stability Control (ESC) or Adaptive Cruise Control (ACC). But it includes also new systems for protecting collisions protection, for changing the lane, or for convenient parking. .The book aims at giving a complete picture focusing on the entire system. First, it describes the components which are necessary for assistance systems,  such as sensors, actuators, mechatronic subsystems, and control elements. Then, it explains key features for the user-friendly design of human-machine interfaces between driver and assistance system. Finally, important characteristic features of  driver assistance systems for particular vehicles are presented: Systems for commercial vehicles and motorcycles.
出版日期Living reference work 2020Latest edition
doihttps://doi.org/10.1007/978-3-319-09840-1
isbn_ebook978-3-319-09840-1
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Anti Collision System PRORETA,rs on two-lane rural roads and helps to prevent accidents. A fusion of video and radar data combines a high-precision detection of far objects with accurate lateral position and velocity estimates for nearer objects. The detection of nearer objects is performed by a video based vehicle classifier. T
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Automotive LIDAR,ilar to a radar system, but instead of using microwaves LIDAR uses ultraviolet, infrared, or beams within the visible light spectrum. Besides distance measurements, which is the basic task, LIDAR sensors can be used for a limited visual detection of objects by analyzing the light intensity, visibili
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Automotive Radar,applications. The answer would be yes and no: yes, because the basic physical principles are valid for all domains, and no, because the requirements are very different. Whereas sometimes the requirements are less ambitious, enabling new concepts to be implemented, in other aspects, the requirements
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Autonomous Driving,us vehicle following the vision of an automated taxi. The overview is based on (scientific) publications and self-reports of the developing teams. Aspects of interest for this summary are approaches on environmental perception, self-perception, mission accomplishment, localization, cooperation, map
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AUTOSAR and Driver Assistance Systems,motive Open System ARchitecture) develops a standardized open software architecture for automotive electronic control units (ECUs). AUTOSAR is a partnership of automotive manufacturers, suppliers, and tool and semiconductor vendors..The focus is on managing the growing complexity in the development
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Backend Systems for ADAS, locally available but accessible via Internet. For example, systems such as Google Traffic use fleet data to analyze the current traffic situation. This chapter gives an overview of available technologies for transmitting, storing, and analyzing data in a backend system. Based on simulation and mea
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