Autonomous & Connected Vehicles Handbook 2019

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AUTONOMOUS & CONNECTED VEHICLES

Data injection — Testing autonomous sensors through realistic simulation Proof that autonomous vehicles are safe to put on the road begins with rigorous models of the sensors that guide them.

Onboard sensors are critical for autonomous vehicles to navigate the open road, but the real environment is full of obstacles. Everyday interferences such reflective surfaces, whiteout conditions, fog, rain, traffic congestion, and objects (i.e. pedestrians, parked vehicles, buildings, signs) clutter the atmosphere and can result in sensor misreads or false targets.

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DESIGN WORLD — EE NETWORK

DSpace — A&CV HB 08-19_v2.indd 18

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HOLGER KRUMM | dSPACE GmbH

The sheer volume of testing necessary to evaluate every possible driving scenario makes it impractical to conduct real test drives on the road. The solution lays with the creation of virtual driving scenarios and sensor-realistic simulation, which can take place in the safety of the lab. An efficient approach is to validate autonomous driving functions by using realistic, off-the-shelf simulation models (i.e. such as dSPACE Automotive

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8/8/19 8:10 AM


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