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The beating heart of the autonomous car will no longer be the engine but processors and algorithms.
Whether it’s the need to process vast quantities of driving data or make a driving decision, AI is the key to effective driver assistance and the fully automated vehicle.
As the home of the US’s automotive industry, Michigan has been with the automobile in every stage of its development and is now set to help make autonomy reality.
Developments in sensor technology continue to enhance the vehicle’s ability to perceive its environment. We examine where current developments are leading us.
In the next 5-10 years we will see more ADAS systems and a significant ramp-up of breakthrough Highly Automated Driving (HAD) systems, using a plethora of sensing technologies.
LIDAR technologies are becoming the key enabler in the fusion of sensors needed to achieve higher levels of autonomous control (levels 4/5).
It’s a critical time to engage the industry on the impact of poor weather on driver ability so practical solutions can be developed before embarrassing ADAS failures occur.
There are two major trends driving the sensing and fusion architectures in vehicles: the NCAP roadmap for active safety functions and the roadmap for L3/L4 autonomous driving modes.
Much focus has centred on autonomous vehicle technology feasibility, advancements, and time to market introduction, but are consumers on the same page?
Getting the consumer to trust in autonomous systems is still a major challenge and recent high profile AV incidents have not helped to galvanise trust. Change that now!