Efficient Statistical Validation of Autonomous Driving Systems

Yu, Handi; Shi, Weijing; Alawieh, Mohamed Baker; Yan, Changhao; Zeng, Xuan; Li, Xin; Yu, Huafeng

doi:10.1007/978-3-319-97301-2_2

Cited by 4 publications

(2 citation statements)

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“…The operation of a CMOS image sensor is based on the light passing through the lens, which is filtered by a matrix of color filter array (Bayer CFA) that provide information on the light intensity in the wavelength regions. The raw image data captured by the CMOS sensor are then converted into a color image by an algorithm that converts photons into photoelectrons [80,81]. After the image processing stage, visual perception is used to recognize and understand the detected objects in the environment using the classification algorithm (Figure 14) [14].…”

Section: Cameramentioning

confidence: 99%

“…filtered by a matrix of color filter array (Bayer CFA) that provide information on the light intensity in the wavelength regions. The raw image data captured by the CMOS sensor are then converted into a color image by an algorithm that converts photons into photoelectrons [80,81]. After the image processing stage, visual perception is used to recognize and understand the detected objects in the environment using the classification algorithm (Figure 14) [14].…”

Section: Cameramentioning

confidence: 99%

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Autonomous Shuttle Bus for Public Transportation: A Review

2020

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The rapid evolution of autonomous technology in the field of automotive and information technology (IT) has made it possible to implement autonomous vehicles (AVs) for public passenger transport. Although the shuttle bus transport capacities currently in use are low (maximum 15 people), the use of these transport units in large urban agglomerations is beneficial for society. The current paper is written to review the current AV implementation with respect to shuttle buses with its direct implications in their scientific evolution, with direct links to the legal and social aspects of public transportation all over the world. A critical aspect that is presented in the paper is the legal framework of autonomous driving, which is extremely uneven around the globe, with the direct impact of autonomous shuttle bus exploitation. As the legislation on AVs presents some shortcomings in the approval, registration, and public road implementation of these vehicles, many of the world’s major cities have found ways to integrate them into testing programs, establishing the basis for future comprehensive legislative measures in this highly dynamic scientific domain. The current technological solutions adopted by several autonomous shuttle bus producers will be presented with an exhaustive overview of each major component. The aspects of the control algorithm, with its complicated layers of security and perturbance factors, will be explained in detail. Thus, in some countries/cities, autonomous shuttle buses have been implemented on less-traveled routes where they can travel at speeds up to 25 km/h without hindering the public’s circulation, such as university campuses, industrial areas, airports, and sports bases. Some countries/cities use autonomous shuttle buses for pilot programs related to passenger transport, while others use them in postal transport and others for scientific purposes. In all of these situations, the first step in autonomous driving has been taken. The paper also makes an evaluation of the social factors that are a consequence of the mass introduction of autonomous driving as a means of public transportation. Autonomous shuttle buses are becoming a part of everyday life in big cities. Their acceptance as a strategic means of transport depends on their efficiency in daily services; through its efficiency, this means of transport will become a game-changer once its benefits become not only known but experienced by a large number of users.

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Section: Cameramentioning

confidence: 99%