Gladiator Technologies MISSION PROVEN MEMS Inertial Sensors & Systems 0.60 inch 1.52 cm Rugged, Reliable, Low Noise, High Speed Processing, Small Size, Weight, and Power Consumption IMUs | Gyroscopes | Accelerometers | INS/GPS www.GladiatorTechnologies.com Applied EV Blanc Robot UGV | Dossier and develop or configure the ‘perfect’ combination of sensors in-house. So, from the company’s perspective, Lidar, stereo cameras, thermal cameras, 4D radar or ultrasonics are technologies that have all matured and become readily available since the introduction of autonomous vehicles. It additionally surmises that each autonomous driving partner has its own preferred configuration or array of sensors, with no two being identical. This can come from certain sensors being more appropriate to the working environment (thermal cameras, for instance, proving superior to electrooptical cameras in low-visibility conditions) or some sensors fitting better to certain vehicle bodies and chassis than others. For many companies previously covered in this publication, geographical proximity to certain suppliers or positive experiences with them was also a key influence when it came to selection for vehicle and component manufacturing. But more than the particulars of sensor architectures, Broadbent sees the real frontier in autonomous driving (and the engineering thereof) today as defining the edge cases. “It’s about working deep in the AI engine, understanding how to deal with events the system may not have seen during on-road testing,” he says. “Autonomous driving software modules for core functions like path planning, free space allocation and even object classification algorithms can now be acquired from technical partners, thanks to the rapid pace of software development of the autonomous ecosystem.” The standard Blanc Robot does, however, integrate MEMS inertial measurement units (IMUs) and GNSS receivers, as well as Ackerman-based steering and precise odometry into It’s about working deep in the AI engine, understanding how to deal with events the system may not have seen during on-road testing
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