On the edge of the San Francisco suburb of Concord sits a ghost town. Dilapidated buildings and cracked roads are framed by overgrowth and slightly askew street signs. The decommissioned 5-acre portion of the Concord Naval Weapons Station that once housed military personnel and their families is now home to squirrels, jack rabbits, wild turkeys and Honda's mysterious testing lab for autonomous vehicles.
Top 5 features at GoMentum Station for testing AVs
/0 Comments/in Testing R&D /by Matthew RandallAt GoMentum Station, 2100 acres and 20+ miles of roadway are available to our customers to test their ADAS, autonomous and connected technologies, only 65 miles from Silicon Valley. Here are the top 5 features that make GoMentum Station the premiere testing destination for our customers: #1: Bunker City has it all: multi-directional lanes, […]
GoMentum Presents at SAE World Congress WCX 2020 Digital Summit
/0 Comments/in Testing R&D /by AAA NCNUGoMentum Station presents two key papers at SAE WCX 2020, on testing automated driving systems, and on a novel collision avoidance safety metric. We are excited to announce that research performed by AAA’s AV Testing team, in collaboration with two key partners, is being presented at the SAE World Congress 2020. Of the many technical […]
Accelerating ADAS and AV Development with the GoMentum Digital Twin
/0 Comments/in Testing R&D /by AAA NCNUGoMentum Station and Metamoto announce a new digital twin simulator to accelerate the development and testing of ADAS features and automated driving systems Authored by Paul Wells Applying autonomy to safety critical applications — most notably, autonomous vehicles — requires extensive verification and validation. The majority of this testing takes place in scalable simulation tools […]
Select experiences in testing AV perception systems
/0 Comments/in Testing R&D /by AAA NCNUGoMentum Station and AAA Northern California, Nevada & Utah partner with University of Waterloo Center for Automotive Research (WatCAR) to validate AV safety performance and compare results across virtual and physical scenario tests. Authored by Paul Wells A key challenge in validating autonomous vehicles — and, more broadly, safety-critical applications of AI — is the […]