Handbook of Camera Monitor Systems

Terzis, Anestis

doi:10.1007/978-3-319-29611-1

Cited by 24 publications

(1 citation statement)

References 0 publications

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“…CMS consist of a camera capturing a field of view (FOV), forwarding the signal to an ECU or similar component for additional processing and then using a display to visualize the information to the driver [16]. 1 CMS currently used in automotive applications, include rear-view camera systems and mirror-replacement systems.…”

Section: Camera Monitor Systemsmentioning

confidence: 99%

Improving Functional Safety of Automotive Video Data Transmission and Processing Systems

Conrad¹,

Langner²,

Axmann³

et al. 2021

JASEN

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As of today, automotive video data transmission and processing systems are already being developed according to ISO 26262, but safety mechanisms and safety architectures for such systems are individually derived on a case-by-case basis. This approach, i.e., reinventing the wheel, over and over again, is neither effective nor well suited for future use cases with system variants and varying system components from multiple suppliers. Further, existing safety mechanisms for video data transmission and processing systems fall short of providing a full "light-to-light" monitoring. To reduce this gap, this paper proposes a generic safety architecture and a method to derive suitable safety mechanisms for automotive video data transmission and processing systems. In addition, enhanced safety mechanisms to detect and indicate faults in such systems are outlined. These contributions to improve the functional safety of automotive video data transmission and processing systems have been devised in a joint research project involving an automotive OEM and multiple industrial and academic partners.

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Section: Camera Monitor Systemsmentioning

confidence: 99%

Improving Functional Safety of Automotive Video Data Transmission and Processing Systems

Conrad¹,

Langner²,

Axmann³

et al. 2021

JASEN

View full text Add to dashboard Cite

show abstract

Advanced optical methods for safe image reproduction on automotive displays

2021

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Modern cars are equipped with camera monitor systems (CMSs), such as a backup camera or side-mirror replacement. These systems are expected to perform optimally and achieve high safety levels (ASIL). Currently, only digital data are supervised in CMSs and safety mechanisms for such systems are individually derived on a case-by-case basis which is not effective. This study proposes generic optical supervision for displays of automotive CMS. This paper introduces "light-to-light" (camera to display output) protection for both in-car CMS and remote operator monitors used in autonomous car fleet operation centers. The first method is based on photodiodes attached to the display to optically supervise, for instance, the speedometer of vehicles.By combining intensities of photodiodes with calibration data, we can compare the measured speed with the value from CAN (Controller Area Network) data. The second method that entails capturing the display content using a camera enables top safety levels for both in-car displays and remote operator monitors. This safeguarding was successfully verified by conventional image processing and artificial intelligence (AI)-based analysis methods. Our results demonstrate that AI methods allow a substantial reduction in the wireless transmission bandwidth from a car to a remote operator compared with conventional image processing.

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Advanced methods for safe visualization on automotive displays

et al. 2020

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Camera Monitor Systems (CMSs), for example, for backup cameras or mirror replacements, become increasingly important and already cover safety aspects such as guaranteed latency and no frame freeze. Today's approaches deal only with supervision of the digital interface, LCD backlight, and power supply. This paper introduces methods for advanced safety monitoring of panel electronics and optical display output that aim to enable future CMS based automotive use cases. Our methods are based on correlation of physical measurements with predicted values derived from a corresponding display model. This model was made via calibration measurements and many test patterns. Correlation of the monitoring results with predicted values corresponds to the probability that the RGB data are shown as intended. This implies that an overlying system, an Automotive Safety Integrity Level (ASIL) Prepared Video Safety System (APVSS), ensures that only safety verified RGB data are provided to the panel electronics. In case of failures, our methods enable a safe system state, for example, by deactivating the panel. An additional challenge is to allow graceful degradations, a safe but slightly degraded image may provide a better customer experience compared with no information. We successfully verified our approach by a fully functional prototype and extensive evaluation towards "light-to-light" (camera to display output) supervision.

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Handbook of Camera Monitor Systems

Cited by 24 publications

References 0 publications

Improving Functional Safety of Automotive Video Data Transmission and Processing Systems

Improving Functional Safety of Automotive Video Data Transmission and Processing Systems

Advanced optical methods for safe image reproduction on automotive displays

Advanced methods for safe visualization on automotive displays

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