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• W4386408233 abstract "<div class=section abstract><div class=htmlview paragraph>The power of advanced driver assistance systems (ADAS) continues to increase alongside vehicle code and software complexity. To ensure ADAS functionality and maximize safety, cost efficiency, and customer satisfaction, original equipment manufacturers (OEMs) must adopt a solution that allows them to mine data, extract meaningful information, send remote software updates and bug fixes, and manage software complexity. All of this is possible with an embedded telematics-based software and data management solution. Event-based logging enables OEMs to actively measure ADAS effectiveness and performance. It allows them to analyze driver behaviors, such as whether response times increase after a certain time of day, and adjust the ADAS settings to increase functionality, such as providing an earlier warning or automated response. A vertically integrated solution also enables the identification and correction of software and calibration defects for the entire vehicle life cycle through over-the-air (OTA) software update packages. This eliminates the need for costly and time-consuming dealer visits and allows troubleshooting, updates, repairs, and recalibration to be performed remotely. There are industry-wide benefits of deep connectivity as well, such as the sharing of critical and safety-related data to make functional enhancements and use in the creation of a real-world safety rating system instead of one based on lab data and general speculation. Connected services are essential for not only the future of ADAS but also for the creation of a safer driving environment for all.</div><div class=htmlview paragraph>In this paper we will:<ul class=list disc><li class=list-item><div class=htmlview paragraph>Look at emerging trends in ADAS vehicle systems</div></li><li class=list-item><div class=htmlview paragraph>Show how connected vehicle data can measure real-world ADAS performance, including false positives and false negatives</div></li><li class=list-item><div class=htmlview paragraph>Show how connected vehicle data can be used to understand driver behaviors including usage patterns and feedback responsiveness</div></li><li class=list-item><div class=htmlview paragraph>Show how systems can be maintained and enhanced throughout the product life cycle in a cost-effective manner</div></li></ul></div></div>" @default.
• W4386408233 created "2023-09-05" @default.
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• W4386408233 date "2023-09-05" @default.
• W4386408233 modified "2023-09-30" @default.
• W4386408233 title "Maintaining and Enhancing Advanced Driver Assistance Systems with Connectivity" @default.
• W4386408233 doi "https://doi.org/10.4271/2023-01-5061" @default.
• W4386408233 hasPublicationYear "2023" @default.
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