[ExI] Team PoliMOVE Wins Indy Autonomous Challenge at CES 2023

BillK pharos at gmail.com
Wed Jan 25 10:05:18 UTC 2023

On Wed, 25 Jan 2023 at 04:51, spike jones via extropy-chat
<extropy-chat at lists.extropy.org> wrote:
> I haven't been following autonomous car racing, but it has gotten very exciting.  Looks to me like the sport has a lot of potential to be scaled down, since many of the size considerations in human-driven cars are limited in down scaling by the requirement to carry the prole and the requisite control linkages and safety stuff.  Take that human driver outta there and we have a whole new and interesting control engineering challenge.  Cool!
> I can imagine a cool sub-challenge: require the use of an existing mass produced motorcycle engine with no turbo charging.  Reasoning: those are factory racing engines that can be bought with integrated transmissions for a few thousand bucks.  Then the challenge becomes scaling the car down to minimize weight and wind resistance.  So that focuses the task on control software rather than engine stuff that can consume a racing team's personnel and budget.  Current high performance production motorcycle engines can push a bike to close to 300 kph, so that would be all we would need.
> I am imagining a setup with one of those bike engines coming in at under 400 kg.  Four sturdy fellers could hoist it into the back of a pickup truck or roll it up ramps, saving money like nobody's business.  Oh that would be a fun project to work in an engineering school.
> spike
> _______________________________________________

At the present stage, the Challenge is focused on software
development.  To actually get the cars round the track at high speed
without crashing into each other!  No hardware development was
Only University teams can compete. The competitions are a platform for
students to excel in Science, Technology, Engineering and Math (STEM).

The teams all use the same design of car, which the universities have
to purchase.
The IAC Dallara AV-21 is the most technologically advanced, fastest
autonomous racecar ever assembled with a bullet-proof package of
equipment, including a host of lidar, radar and optical cameras
sensors, converging with screamingly quick on-board rugged-edge
computing and communications, coupled with cutting-edge artificial
intelligence algorithms.

This seems like a great idea to get students developing autonomous car software.


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