  Environment perception for autonomous driving is doomed by the trade-off
between range-accuracy and resolution: current sensors that deliver very
precise depth information are usually restricted to low resolution because of
technology or cost limitations. In this work, we exploit depth information from
an active gated imaging system based on cost-sensitive diode and CMOS
technology. Learning a mapping between pixel intensities of three gated slices
and depth produces a super-resolved depth map image with respectable relative
accuracy of 5% in between 25-80 m. By design, depth information is perfectly
aligned with pixel intensity values.
