Monday, June 20, 2016

Valeo on Automotive Vision

Autosens Conference publishes an interview with Valeo Senior Expert and Adjunct Professor of Automotive Electronics at the University of Ireland Patrick Denny. Few points on image sensor implications:

"The pervasive tendency in the industry is a transition from component-level thinking to system-level, where the products and applications are considerably more than the sum of their parts.

This calls for: glass-to-glass thinking for the video chain (for viewing), and; glass-to-bit appreciation (for machine vision).

These instincts must be further widened in multi-sensor architectures that support sensor fusion to include photon/phonon-to-bit thinking. The day of daisy-chaining black boxes to make an automotive product is gone and stakeholders in the video chain need to have an appreciation of, and accommodation for, the interaction of the elements which originate both inside and outside of the automotive industry.

"A typical colour megapixel automotive camera generates a data bit for every man, woman and child on Earth in under 6 seconds and is connected in turn to multi-sensor systems that perform ever more complex processing, and this is the tip of the data iceberg among the sensor fusion systems on a vehicle.

The introduction of cameras on to vehicles caused a leap in the volume, variety and velocity of data available to the vehicle and a rock solid mathematical appreciation of how these data sets work is vital for automotive technologists trying to make product differentiators.

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