Computer-chip maker Intel wants to ensure that self-driving vehicles cannot cause accidents where they are at fault. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at Intel's standards that will govern the behavior or robot cars and truck. SAE Eye on Engineering also airs Monday mornings on WJR 760 AM Detroit's Paul W. Smith Show. Access archived episodes of SAE Eye on Engineering.
Spotlight on Design: Insight features an in-depth look at the latest technology breakthroughs impacting mobility. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. Automated driving is made possible through the data acquisition and processing of many different kinds of sensors working in unison. Sensors, cameras, radar, and lidar must work cohesively together to safely provide automated features. In the episode Automated Vehicles: Converging Sensor Data (8:01), engineers from IAV Automotive Engineering discuss the challenges associated with the sensor data fusion, and one of Continental North Americas technical teams demonstrate how sensors, radars, and safety systems converge to enable higher levels of automated driving.
Traditionally, an in-vehicle map consists of only one type of data, tailored for a single user function. For example, the navigation maps contain spatial information about the roads. Presenter Peter Nordin, Link�ping University