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Collect algorithms that go beyond lane markings detection and do reliable lane keeping #1
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Has anyone played with DeepAnomaly? https://twitter.com/GTARobotics/status/853598625162817536?s=09 |
Excellent presentation! Passive stereo vision with deep learning Must try for OSSDC Stereo Smart Camera! https://twitter.com/GTARobotics/status/853615370342674433 This will help a lot the OSSDC LKAS implementation. |
A very interesting approach:
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Must extend this project, it covers the following features for LKAS, would be also good to port these to Android for an easier to deploy #4-mvp-dash-camera : https://github.com/OSSDC/DAPrototype This project is an attempt to create a standalone, windshield mounted driver assist unit with the following functionality:
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The idea in this MVP is to provide state of the art and reliable free space detection and lane keeping methods, even for situations when lane markings are not available.
Part of the computation may be moved to the edges, like in smart cameras powered by FPGAs.
We cover smart cameras in this project:
OSSDC/OSSDC-SmartCamera#1
Here are some videos to get the discussion started, we assume the use of stereo cameras, but we may be able to do it also with pseudo stereo or multi camera setup:
Computer Games Empower Deep Learning Research | Two Minute Papers
https://m.youtube.com/watch?v=QkqNzrsaxYc
SegNet: Road Scene Segmentation
https://m.youtube.com/watch?v=CxanE_W46ts
Stixels: Free Space and Object Segmentation In Traffic Environments
https://m.youtube.com/watch?v=7BtlB8rEqrY
Free-space Computation on Bad Weather
https://m.youtube.com/watch?v=e6O-Gul3LzQ
Real-Time Stereo Vision For ADAS : Stixel 160311
https://m.youtube.com/watch?v=0KUAfZqiT-w
Sixtel, good weather (2010-07-27_111204)
https://m.youtube.com/watch?v=VPvW81tnaFc
Sixtel, bad weather (2010-07-27_105634)
https://m.youtube.com/watch?v=mmKeTGxFUcA
https://m.youtube.com/watch?v=DUCsR24TAbs
This is from psychology, to understand how we see depth:
Monocular Depth Cues
https://m.youtube.com/watch?v=tbhTHaPKM5I
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