We’re excited to help write the next chapter for self-driving vehicles! The Mandli team spent the day at the American Center for Mobility – Willow Run in Michigan collecting roadway data at the test facility. Mandli data will be used to help create high-definition maps that will help facilitate Autonomous Vehicle (AV) testing at Willow Run. Mandli is delighted to partner with Willow Run and bring our technology to facilitate safe and reliable testing for AVs.
Mandli delivered the first Highly Automated Driving (HAD) Map to a client for testing autonomous vehicles (AVs). What sets Mandli apart in HAD map development is our ability to create customized maps for any given location.
In 2019, Mandli achieved the unique distinction of being the first technology company to get its data collection vehicle certified at the National Center for Asphalt Technology (NCAT) for two of its pavement scanning systems, LCMS-1 and LCMS-2.
Mandli introduced its newest Data Collection Vehicle, the X35 in 2018. Equipped with the latest technology for pavement scanning and LiDAR for asset information, the X35 comes with 9 cameras, each with a resolution of 80 megapixels per image, at rates up to 500 frames per mile, and provides 360-degree image coverage.
The future of Autonomous Vehicle(AV) Lane Keep Systems (LKS) is here! This demo shows how adding a radiance channel to the sensor stacks on AV’s can give the vehicle much more confidence when trying to find the lane lines. This in combination with a vHAD™ map layer gives the AV a robust LKS to rely on when driving down the road.