The first weekend in April, Xsens joined the second Self Racing Cars track day at Thunderhill Raceway. The track day is designed to push autonomous cars towards true race-ready shape. While the premise of the game is to see who can make it around the course fastest while driving entirely autonomously, there is also plenty of opportunity for gathering data (from sensors, cameras, algorithms).
Xsens sensors are incorporated into many fully autonomous cars including AutonomouStuff and Vector.ai, the 2nd and 3rd place finishers in the fastest autonomous lap competition!
AutonomouStuff uses the Xsens MTi-G-710 in the majority of the cars and perception kits that they sell. They use the MTi-G-710 as a GPS as well as a roll, pitch, and yaw measurement unit. They have said that “At the price-point and from a quality standpoint, the Xsens MTi-G-710 is by far the best option for GPS and IMU in a small, easy to integrate package”.
Vector.ai is performing an End-to-End learning solution where localization and mapping are critical. For this, Vector.ai has chosen the Xsens MTi-G-710 and feels confident that this allows them to deliver the best product for their customer.
We’re going to get on the track and get some data
Our objective at the event was to test our motion tracking technology in high-performance automotive conditions. We mounted our MTi-G-710 on a race ready Mustang and logged data from multiple high speed runs around the track. We will be publicly sharing this data here.
The Self Racing Cars event again highlighted the fact that within the autonomous vehicles markets, Xsens technology has a firm foothold with its high-performance 3D motion tracking solutions.
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