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Measurement(s) autonomous vehicles • disengagement • crashes • reaction times Technology Type(s) manual entry • OpenStreetMap • Google Maps Factor Type(s) temporal interval Sample Characteristic - Location State of California Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15049227
Aerospace has been ahead of automotive in terms of autonomous technology. Automotive has had the additional challenges of density and human interaction. However, new aerospace models have similar characteristics to automotive, and thus some interesting new opportunities for cross-pollination.
Focus On: Cybersecurity
CISA has created an Autonomous Ground Vehicle Security Guide that provides transportation systems sector partners with a framework to better understand cyber-physical threats related to AVs and recommended strategies to mitigate both enterprise- and asset-level security risks.
Focus On: RADAR
Take a dollop of machine learning, a handful of radar sensors and a market that is clamoring for autonomous cars not mowing down hordes of pedestrians, and you’ve got yourself a particularly frothy fundraising environment. Hot on the heels from the $10 million round Spartan Radar announced in August, the company today announced it snagged…
Focus On: LIDAR
Focus On: Cameras
Functional Safety Engineer.com (FSE) aims to be your go-to source for interesting technical content related to functional safety, including automotive, self-driving cars, and safety instrumented systems (SIS). We also like to dabble in the related areas of cybersecurity, machine learning, and reliability engineering. We aim to provide a mix of original content and links to the best available third party content. Content is updated approximately weekly, so please check back often. Thank you for reading! Please bookmark us and follow us on social media.