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Openpilot performance on various cars and calibration module #149
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rbiasini
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Jan 25, 2019
9ee6285 optimize board build for size to avoid going over the limit. (#150) 20e8fa9 Start introducing Bounties a2046e9 make it smaller 1dfcf2b update panda price 37ee289 chrysler safety: fixed comments c2dfbad tesla safety: return -1 to block forward (#149) 74c0c1b update README be0061d Chrysler: safety now based on motor torque 039d183 Chrysler: fixed regression test 9193eeb Chrysler: safety limits updated 04f1d44 Chrysler safety: 3 sa max rate down for now cf3ecd6 Chrysler safety: re-using hyundai framework 49ed9bc Update CLICKS for longer bootup time of EONS and avoid unwanted fast charge mode git-subtree-dir: panda git-subtree-split: 9ee6285
legonigel
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Mar 26, 2019
3a55ae9 New camry steer message (#149) 6cd0238 Add 2019 CR-V Hybrid DBC (#148) 721e9b2 Subaru: set speed can be in kph and it needs 8 bits 0e98b2c Subaru: update LKAS_State 945b6ad Subaru: slightly touched wheel speed factor 608a4a62 Add files via upload (#147) 6a29f7e Subaru: fixed DOOR_OPEN sgs 434debb Adds dbc for 2017 lexus is300h (hybrid) (#146) 679dd42 Subaru: some cleanup to dbc 38140d2 Subaru: endianess consistency in wheel speeds 8281813 Subaru Global: more endianess consistency. Still a long way to go a3b78a3 Subaru Global: simplified Stalk Message b8250bc fixed sign in steering angle 9552df4 Subaru: left steer is positive 4aca14c SUBARU LKAS: minus sign to steer command to match standard convention a6cc574 Merge pull request #145 from Jafaral/master abcb9a2 Add Mazda CX-5 2017 GT f4a8f79 Pedal: back again at 6 bytes 3fd25bf Pedal: same checksum and counter (#143) 2c74c55 Toyota pedal: messages are now 7 bytes 732f3fc Toyota pedal: added counter acf0da7 Subaru global dbc (#142) e0fa5d0 Subaru: added global dbc cb22125 change chrysler radar to all big endian to avoid OP can parser bug (#141) ecf99e0 chrysler car model in LKAS message so we can use CAN packer (#140) git-subtree-dir: opendbc git-subtree-split: 3a55ae9
Your EON should be mounted roughly center of the windshield where it can see the whole road. For example see some community guides here and here. There is calibration in openpilot. See calibrationd, but the camera is still expected to be generally close to the center of the windshield. |
mespiritu
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Apr 1, 2019
Fix crash when user reverts to 0.5.9 from 0.5.10
Jamezz
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Apr 5, 2019
avolmensky
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Jun 10, 2019
* New steer message More accuracy and less latency * Fixed range * Removed extra line * Moved signal to the correct message and ran generator Saw checksum and threw it under the wrong message
icmma
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Jun 16, 2019
update to latest
avolmensky
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DrFritzi
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Jan 30, 2021
should be "=" not "=="
SebastienLubrano
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Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> Co-authored-by: Comma Device <device@comma.ai>
nworb-cire
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Aug 2, 2024
…#149) * ui: Driving Screen Off: show/hide toggles with param updates * not just yet
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Hi,
I noticed (1) on demo videos, openpilot did a great job on lane keeping, (2) comma AI is also trying to extend the compatibility to more vehicles. I'm just curious about what would be the performance of openpilot on different cars? Or, the question might be how could openpilot maintain a good performance for various cars?
To adapt openpilot to different cars, a couple of parameters will affect the end to end driving performance, such as camera pose, camera/smartphone mounting position, steering ratio, etc. Steering ratio might be easy to calibrate. However, for camera pose and camera/smartphone mounting position, they may largely affect the model performance. So, I'm wondering
(1) Does openpilot/NEO have to be mounted on a specific fixed location? I checked the NEO tutorial, it seems the 3D printed case has to be mounted on a specific location as shown in https://www.youtube.com/watch?v=GzrHNI6eCHo . However, in this demo video https://www.youtube.com/watch?v=PwOnsT2UW5o&t=204s even though a general phone mount is used, the system could also work.
(2) What is the calibration process of openpilot? Does current open source code include any calibration functionality? Is it included in currently black boxed visiond, or a sperate model not open sourced yet, or comma ai has a large training dataset including various camera mounting positions and poses? Just curious about how to make the model to have such a good compatibility.
Thanks a lot.
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