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156 lines
6.4 KiB
156 lines
6.4 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"\"\"\"In this example, we use the public comma car segments database to check if vin fingerprinting is feasible for ford.\"\"\"\n",
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"\n",
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"from openpilot.tools.lib.logreader import LogReader\n",
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"from openpilot.tools.lib.comma_car_segments import get_comma_car_segments_database\n",
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"from openpilot.selfdrive.car.ford.values import CAR\n",
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"\n",
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"database = get_comma_car_segments_database()\n",
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"\n",
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"platforms = [c.value for c in CAR]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Adapted from https://github.com/commaai/openpilot/issues/31052#issuecomment-1902690083\n",
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"\n",
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"MODEL_YEAR_CODES = {'M': 2021, 'N': 2022, 'P': 2023, 'R': 2024, 'S': 2025}\n",
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"\n",
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"\n",
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"F150_CODES = ['F1C', 'F1E', 'W1C', 'W1E', 'X1C', 'X1E', 'W1R', 'W1P', 'W1S', 'W1T']\n",
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"LIGHTNING_CODES = ['L', 'V']\n",
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"MACHE_CODES = ['K1R', 'K1S', 'K2S', 'K3R', 'K3S', 'K4S']\n",
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"\n",
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"FORD_VIN_START = ['1FT', '3FM', '5LM']\n",
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"\n",
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"def ford_vin_fingerprint(vin): # Check if it's a Ford vehicle and determine the model\n",
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" vin_positions_567 = vin[4:7]\n",
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"\n",
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" if vin.startswith('1FT'):\n",
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" if vin_positions_567 in F150_CODES:\n",
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" if vin[7] in LIGHTNING_CODES:\n",
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" return f\"FORD F-150 LIGHTNING 1ST GEN\"\n",
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" else:\n",
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" return f\"FORD F-150 14TH GEN\"\n",
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" elif vin.startswith('3FM'):\n",
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" if vin_positions_567 in MACHE_CODES:\n",
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" return f\"FORD MUSTANG MACH-E 1ST GEN\"\n",
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" elif vin.startswith('5LM'):\n",
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" pass\n",
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"\n",
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" return \"mock\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Got 287 segments for platform FORD BRONCO SPORT 1ST GEN, sampling 5 segments\n",
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"Got 137 segments for platform FORD ESCAPE 4TH GEN, sampling 5 segments\n",
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"Got 1041 segments for platform FORD EXPLORER 6TH GEN, sampling 5 segments\n",
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"Got 5 segments for platform FORD F-150 14TH GEN, sampling 5 segments\n",
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"Got 56 segments for platform FORD FOCUS 4TH GEN, sampling 5 segments\n",
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"Got 637 segments for platform FORD MAVERICK 1ST GEN, sampling 5 segments\n",
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"Got 3 segments for platform FORD F-150 LIGHTNING 1ST GEN, sampling 3 segments\n",
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"Got 3 segments for platform FORD MUSTANG MACH-E 1ST GEN, sampling 3 segments\n"
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]
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}
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],
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"source": [
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"import random\n",
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"\n",
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"MAX_SEGS_PER_PLATFORM = 5\n",
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"\n",
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"VINS_TO_CHECK = set()\n",
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"\n",
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"for platform in platforms:\n",
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" if platform not in database:\n",
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" print(f\"Skipping platform: {platform}, no data available\")\n",
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" continue\n",
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" \n",
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" all_segments = database[platform]\n",
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"\n",
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" NUM_SEGMENTS = min(len(all_segments), MAX_SEGS_PER_PLATFORM)\n",
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"\n",
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" print(f\"Got {len(all_segments)} segments for platform {platform}, sampling {NUM_SEGMENTS} segments\")\n",
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"\n",
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" segments = random.sample(all_segments, NUM_SEGMENTS)\n",
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"\n",
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" for segment in segments:\n",
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" lr = LogReader(segment)\n",
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" CP = lr.first(\"carParams\")\n",
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" if \"FORD\" not in CP.carFingerprint:\n",
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" print(segment, CP.carFingerprint)\n",
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" VINS_TO_CHECK.add((CP.carVin, CP.carFingerprint))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"vin: 3FTTW8E34PRXXXXXX real platform: FORD MAVERICK 1ST GEN determined platform: mock correct: False\n",
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"vin: 00000000000XXXXXX real platform: FORD F-150 14TH GEN determined platform: mock correct: False\n",
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"vin: 3FMTK3SU0MMXXXXXX real platform: FORD MUSTANG MACH-E 1ST GEN determined platform: FORD MUSTANG MACH-E 1ST GEN correct: True\n",
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"vin: 1FTVW1EL4NWXXXXXX real platform: FORD F-150 LIGHTNING 1ST GEN determined platform: FORD F-150 LIGHTNING 1ST GEN correct: True\n",
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"vin: WF0NXXGCHNJXXXXXX real platform: FORD FOCUS 4TH GEN determined platform: mock correct: False\n",
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"vin: 1FMCU9J94MUXXXXXX real platform: FORD ESCAPE 4TH GEN determined platform: mock correct: False\n",
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"vin: 3FTTW8E33NRXXXXXX real platform: FORD MAVERICK 1ST GEN determined platform: mock correct: False\n",
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"vin: 3FMCR9B69NRXXXXXX real platform: FORD BRONCO SPORT 1ST GEN determined platform: mock correct: False\n",
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"vin: 1FM5K8GC7LGXXXXXX real platform: FORD EXPLORER 6TH GEN determined platform: mock correct: False\n",
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"vin: 5LM5J7XC9LGXXXXXX real platform: FORD EXPLORER 6TH GEN determined platform: mock correct: False\n",
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"vin: 5LM5J7XC1LGXXXXXX real platform: FORD EXPLORER 6TH GEN determined platform: mock correct: False\n",
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"vin: 3FTTW8F97NRXXXXXX real platform: FORD MAVERICK 1ST GEN determined platform: mock correct: False\n",
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"vin: 3FTTW8E99NRXXXXXX real platform: FORD MAVERICK 1ST GEN determined platform: mock correct: False\n"
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]
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}
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],
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"source": [
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"for vin, real_fingerprint in VINS_TO_CHECK:\n",
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" determined_fingerprint = ford_vin_fingerprint(vin)\n",
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" print(f\"vin: {vin} real platform: {real_fingerprint: <30} determined platform: {determined_fingerprint: <30} correct: {real_fingerprint == determined_fingerprint}\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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