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Viewing 1 to 6 of 6
2017-06-19
Video
Automatic Emergency Braking, or AEB, uses radar to monitor a vehicle's closeness to the vehicle ahead. If it detects a frontal collision, the system warns the driver. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at Nissan and Toyota's announcement to make AEB standard on nearly all of their 2018 U.S. models. SAE Eye on Engineering also airs Monday mornings on WJR 760 AM Detroit's Paul W. Smith Show.
2017-06-14
Video
Soon, new vehicles will be able to communicate back and forth with each other and with traffic signals. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at the V2I capabilities of Cadillac's CTS. SAE Eye on Engineering also airs Monday mornings on WJR 760 AM Detroit's Paul W. Smith Show.
2016-09-26
Video
As self-driving "robot" vehicles begin to enter the roadways in a few years, the technology's ethical issues are being discussed. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at the important issues facing autonomous vehicles. 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.
2015-12-08
Video
Electric and hybrid vehicles driving at low speeds are so quiet they can pose a danger to sight-impaired pedestrians crossing the street. In this episode of SAE Eye on Engineering, Senior Editor Lindsay Brooke looks at the U.S. government plans to require electrified vehicles emit a warning sound when traveling less than 18 mph. 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 at: http://www.sae.org/magazines/podcasts.
2015-04-16
Video
“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 America’s technical teams demonstrate how sensors, radars, and safety systems converge to enable higher levels of automated driving.
2011-12-05
Video
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
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