Realtime Technologies News

  Driver simulation is a remarkably powerful research tool. It allows us to safely and affordably explore how people handle potentially deadly situations. We can create scenarios (e.g., poor visibility, impaired driving, malfunctioning ADAS systems) that would be logistically impossible (as well as unethical) to ask study participants to endure in real life. So it’s … Continued

  A recent driving and traffic simulation study from the University of Minnesota suggests several cost-effective ways to address rural highway safety at the intersection The rural road safety crisis is invisible to many Americans. Only about 20 percent of the US population lives in rural areas, and only about one-third of all miles driven … Continued

  Ann Arbor, Michigan – April 14, 2020 – Arotech’s Training and Simulation Division’s (ATSD) Realtime Technologies (RTI) expands customer support allowing customers to remain engaged and productive during the COVID-19 pandemic. RTI’s managers and engineers, many working remotely themselves, architected a pathway for its customers to use the RTI software suite while access to … Continued

Ann Arbor, Michigan – February 10, 2020 – Arotech Corporation’s Training and Simulation Division (ATSD) has acquired Inter-costal Electronics, Inc. (ICE), a privately-owned corporation headquartered in Mesa, AZ. For over 30 years, ICE has been a leading provider of live training and test instrumentation systems. ICE designs, manufactures, and supports complex instrumentation ecosystems supporting strategic … Continued

  Last year a U.S. auto manufacturer announced a startling leap forward in in-vehicle experience: Ordering Donuts via dashboard while driving As a user experience, it was not an immediate success. Probably the warmest review came from Daniel Howley, the technology editor at Yahoo! Finance: “[this] is a nice option, but it feels like a … Continued

  On a single day in mid-July major headlines painted seemingly mutually exclusive pictures of the state of autonomous vehicles. Tesla announced plans to launch “full self-driving” features on its existing fleet of 100,000+ vehicles. This would allow “automatic driving on city streets” within the year.  That same day, long-established automakers (including Ford and VW) … Continued

  The discussion around autonomous vehicles (AVs) is chronically fixated on two areas of technology: Sensors and AI algorithms Even when simulator technology enters the conversation, we tend to focus on advances in using simulation to train AIs. Tesla claims that their edge in developing autonomous vehicle AIs—and rolling out “Automatic driving on city streets” … Continued

  As we’ve noted in the past over-reliance on automated driving systems (ADS) and advanced driver-assistance systems (ADAS) is a big hurdle to broad acceptance of autonomous vehicles. Fortunately, recent driver research hints at some truly tiny tweaks we could make to driver training programs that would help laypeople right-size their reliance on the ADS/ADAS … Continued

  When it comes to autonomous vehicles, we have trust issues. On the one hand, adoption will be slow (or non-existent) until we develop a certain baseline level of trust in these systems. On the other hand, human factors research has shown that laypeople often vastly over-rely on autonomous systems.  Human Factors Research Highlights the … Continued

When you take a seat in the 2013 Ford Fusion sitting in Srinivas Peeta’s new lab, you enter a virtual world where researchers can throw anything at you: snow and ice, detours, traffic snarls. All you have to do is drive, and along the way researchers are going to watch every turn, every acceleration, every … Continued