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This week we have a special DARPA SubT edition of Video Friday, both because the SubT Final is happening this week and is amazing, and also because (if I'm being honest) the SubT Final is happening this week and is amazing and I've spent all week covering it mostly in a cave with zero access to Internet. Win-win, right? So today, videos to watch are DARPA's recaps of the preliminary competition days, plus (depending on when you're tuning in) a livestream of the prize round highlights, the awards ceremony, and the SubT Summit with roundtable discussions featuring both the Virtual and Systems track teams.


DARPA Subterranean Challenge Final Event Day 1- Introduction to the SubT Challenge

DARPA Subterranean Challenge Final Event - Day 2 - Competition Coverage

DARPA Subterranean Challenge Final Event - Day 3 - Competition Coverage

DARPA Subterranean Challenge Final Event Day 4 - Prize Round Coverage

DARPA Subterranean Challenge Final Event Day 4 - Awards Ceremony and SubT Summit

The Conversation (0)

Letting Robocars See Around Corners

Using several bands of radar at once can give cars a kind of second sight

10 min read
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Illustration of the modeling of a autonomous vehicle within a urban city intersection.

Seeing around the corner is simulated by modeling an autonomous vehicle approaching an urban intersection with four high-rise concrete buildings at the corners. A second vehicle is approaching the center via a crossing road, out of the AV’s line of sight, but it can be detected nonetheless through the processing of signals that return either by reflecting along multiple paths or by passing directly through the buildings.

Chris Philpot

An autonomous car needs to do many things to make the grade, but without a doubt, sensing and understanding its environment are the most critical. A self-driving vehicle must track and identify many objects and targets, whether they’re in clear view or hidden, whether the weather is fair or foul.

Today’s radar alone is nowhere near good enough to handle the entire job—cameras and lidars are also needed. But if we could make the most of radar’s particular strengths, we might dispense with at least some of those supplementary sensors.

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