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Seeing the world in autopilot, part deux

bswn1

Member
Feb 13, 2016
497
391
CA
Yes. This is nearing completion now. I am trying to get some interesting/diverse footage. There are going to be some limitations of course, and the backup camera is so unreliable I think I am not going to even try to depend on collect that particular footage.

I cannot wait to see what you two are putting together. Thanks from the community for your continued work and research.
 

lunitiks

Cool James & Black Teacher
Nov 19, 2016
2,698
5,939
Prawn Island, VC
Bladerskb, bladerskb, bladerskb!

images
 

S4WRXTTCS

Well-Known Member
May 3, 2015
5,524
6,272
Snohomish, WA
stays in the slow lane too much

How German of it. :)

I finally get to try it out so I'm curious to see how my choices compare with its. I don't get to try the ULC yet, but I'll try to be a good obedient driver in changing lanes when it wants.

It does need to be regional because people drive differently in different regions. I fully expect it to be in the right lane more than me on a three lane road. I move over since I feel the middle lane is safer, and I only use the passing lane when I need to pass.
 
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Reactions: scottf200

jimmysanto

New Member
Jan 5, 2019
2
2
San Francisco
Orange transparent “ribbon” denotes idea of how the autopilot thinks it should continue forward from there on (or so we think, it’s some sort of path planning apparently. It is given in 3D space and we @DamianXVI tried to overlaid it on 2D space as closely as could be done currently with the limited knowledge we have) – this is really advanced, note on the hills it goes up and down – this is why AP2+ is better on hilly roads than AP1.

@verygreen apart from the orange ribbon. I wonder if those lane lines are given in 3D space coordinate too?
 

indiathebest

New Member
Jan 15, 2019
3
-1
US
what do you mean by the aknat lane?

the lane lines are just a few points bezier curves in image space.

aknet lane means lane detection decoders in v9 neural network. so the network outputs bezier curve control points in image space. that's exactly what i've wondered. thank you very much!
 

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