I knew it. I knew it, I knew it, I knew it. Tesla: I knew it. Whohoo. Verygreen made my day. CASE CLOSED!
Ummm, @verygreen made our day long long ago, he just continues to make it....
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HW2.5 capabilities
- Thread starter verygreen
- Start date
-
- Tags
- Autonomous Vehicles
Ummm, @verygreen made our day long long ago, he just continues to make it....
I thought the wide angle lens was needed for sign recognition and cross traffic situations with pedestrians and such, I suppose they can just add another NN called GodFather to look for signs and pedestrians and such, however I assume each NN requires a certain amount of resources to spin up / and run it's process, so does combining NN make them more efficient to run later on, or is it typical to have large amounts of small networks for specific tasks and just have one master NN to rule them all and make decisions?
BTW the NNs have names. The wide zoom one is called.... tada! fisheye_autowiper
The name suggests to me that it is not the only "fisheye" NN that they are working on
Either that, or the AP team are sending us all a message...
jimmy_d
Deep Learning Dork
It should have enough resolution to detect a vehicle directly ahead of you at 100 meters pretty easily. I have also noticed that it comes in pretty hot on stopped cars and my interpretation has been that autopilot wants to see radar confirmation if possible. The problem with stopped cars is that they are very hard to see on a doppler radar.
Just in case you haven't heard this stuff before: doppler radar sorts things by relative speed. Most of the stuff around you (called the background) has the same relative speed (trees, road, buildings) so there's a lot of clutter and noise in that category, which makes it hard get a usable signal for stuff that is stopped. This is probably why the autopilot manual warns users to be wary of stopped vehicles on the road - because the radar has a hard time with stopped objects.
Yes this could be.
Thank you for sharing all this information. Any chance you would share the network definitions file?
Maybe they go to frames instead of output coordinates, because they get higher accuracy that way. Maybe the FC layers are not performing well yet for making coordinates/labels.
I am skeptical that they would be training the bottom 21 layers with unsupervised learning, but idk, would be curious if you find more information to support this.
"Alas, it does not (not on my car anyway)." It doesn't do what on your car?
Can you share some of that information in the DB schema? like table names and such?
So would you presume that this DB and this maps task has to do with HD maps in relation to autopilot? Or just other mapping stuff?
In the future, the wide angle may be used for sign recognition and cross traffic situations with pedestrians and such, but all that map not be necessary for the current state of autopilot.
"so does combining NN make them more efficient to run later on." this gets complicated, but yes in general combing NNs will make them more efficient, in the sense its cheaper to run 1 NN rather than multiple. However, can lose some accuracy / performance, but it is totally reasonable to have 1 very well designed network that can have multiple functions and do them all at high performance.
"is it typical to have large amounts of small networks for specific tasks and just have one master NN to rule them all and make decisions?"
I don't know about typical, but yes it is common to have several neural networks for specific tasks in autonomous driving.
But I would not say there is a master NN that takes the output of the other NNs to make a master decisions. It may be happening somewhere. But more commonly, there would just be a regular set of algorithms (non - NN) that will examine the output of all the neural networks and make final decisions.
Last edited:
jimmy_d
Deep Learning Dork
Cool! I was wondering what it would look like. That's a very helpful visualization (for me, anyway).
My take on the current resolution: The HW2 camera system is over-spec'd today to future-proof it. The level of functionality they are delivering today can't make use of all the detail that the cameras can supply and trying to process all of it would, right now, slow things down and add errors. But to get to FSD you need a lot more detail.
The state of the art in NN technology is moving forward at a rapid pace. Looking at benchmarks we see that error rates more or less halve every year even as the relative computational requirements decline. At the user level you don't really notice until a new feature becomes possible, but there's a rapid and relentless improvement in this tech. In time the software will be able to use a lot more of those pixels.
jimmy_d
Deep Learning Dork
Yeah, seems that way. And the output of the vision network doesn't seem tailored to that. It looks like the vision network is probably just figuring out where the signs are in an image. The downstream software running on the ARM cpu could be using that sign localization feature to 'read' the sign in a full resolution frame.
scottf200
Well-Known Member
He stated this: "so I imagined it would create the db" right before "Alas, it does not (not on my car anyway)." so he must meant it didn't create the db/database.
roads, road_splines, lanes, lane_splines, traffic signals....
BTW the autopilot track log got extended again. A lot more extra info and now it contains some sort of a binary log at the end that grows as you travel. 6 byte chunks are added per some unit of travel/time?
sample of a new trip log:
Code:
{
"snapshot-version": "0.3",
"wall-time": "1508987636850212162",
"monotonic-time": "1185683024834",
"sha1": "a88c8d597f1c5eb1",
"requester": "autopilot-trip-log",
"faux-board-id": "2e563f1d-7b53-4a66-afc8-2c32b4d9a672",
"request-clock-type": "monotonic",
"request-trigger-time": "1185682931785",
"boot-sec-info": "0x00000002",
"vehicle-type": "M3-RHD",
"hardware-type": "HW2.5",
"product-release": "2017.42 (develop-2017.42-6749-a88c8d597f)",
"cameras": {
"main": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"narrow": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"fisheye": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"leftpillar": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"rightpillar": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"leftrepeater": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"rightrepeater": {
"pixel_format": "RAW12_NVIDIA",
"color_filter": "RCCC",
"width": "1280",
"height": "960"
},
"backup": {
"pixel_format": "UYVY",
"color_filter": "RGGB",
"width": "1160",
"height": "720"
}
},
"entries": {
"autosteer": {
"time_s": {
"autosteer_on": {
"ROAD_CLASS_UNKNOWN": "0",
"ROAD_CLASS_1": "77",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "24",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "0",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "0",
"SPEED_0_TO_5_MPS": "0",
"SPEED_5_TO_10_MPS": "0",
"SPEED_10_TO_15_MPS": "0",
"SPEED_15_TO_20_MPS": "9",
"SPEED_20_TO_25_MPS": "11",
"SPEED_25_TO_30_MPS": "80",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "0",
"CURVE_RADIUS_0_TO_100_M": "0",
"CURVE_RADIUS_100_TO_250_M": "0",
"CURVE_RADIUS_250_TO_500_M": "5",
"CURVE_RADIUS_500_TO_1000_M": "4",
"CURVE_RADIUS_1000_TO_2000_M": "17",
"CURVE_RADIUS_2000_TO_5000_M": "36",
"CURVE_RADIUS_5000_TO_10000_M": "22",
"CURVE_RADIUS_10000_TO_100000_M": "11",
"CURVE_RADIUS_100000_OR_ABOVE_M": "3",
"GPS_FUSION_OFF_S": "0",
"GPS_FUSION_ON_S": "101",
"GPS_FIX_OFF_S": "0",
"GPS_FIX_ON_S": "101",
"SATELLITE_RANGE_0_TO_3_S": "0",
"SATELLITE_RANGE_4_TO_7_S": "0",
"SATELLITE_RANGE_8_TO_12_S": "0",
"SATELLITE_RANGE_13_AND_UP_S": "101",
"CELL_NOT_CONNECTED_S": "0",
"CELL_CONNECTED_S": "101"
},
"autosteer_available": {
"ROAD_CLASS_UNKNOWN": "0",
"ROAD_CLASS_1": "2",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "97",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "0",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "0",
"SPEED_0_TO_5_MPS": "2",
"SPEED_5_TO_10_MPS": "9",
"SPEED_10_TO_15_MPS": "28",
"SPEED_15_TO_20_MPS": "37",
"SPEED_20_TO_25_MPS": "12",
"SPEED_25_TO_30_MPS": "9",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "0",
"CURVE_RADIUS_0_TO_100_M": "0",
"CURVE_RADIUS_100_TO_250_M": "6",
"CURVE_RADIUS_250_TO_500_M": "9",
"CURVE_RADIUS_500_TO_1000_M": "18",
"CURVE_RADIUS_1000_TO_2000_M": "21",
"CURVE_RADIUS_2000_TO_5000_M": "20",
"CURVE_RADIUS_5000_TO_10000_M": "7",
"CURVE_RADIUS_10000_TO_100000_M": "11",
"CURVE_RADIUS_100000_OR_ABOVE_M": "3",
"GPS_FUSION_OFF_S": "0",
"GPS_FUSION_ON_S": "100",
"GPS_FIX_OFF_S": "0",
"GPS_FIX_ON_S": "100",
"SATELLITE_RANGE_0_TO_3_S": "0",
"SATELLITE_RANGE_4_TO_7_S": "0",
"SATELLITE_RANGE_8_TO_12_S": "0",
"SATELLITE_RANGE_13_AND_UP_S": "100",
"CELL_NOT_CONNECTED_S": "0",
"CELL_CONNECTED_S": "100"
},
"autosteer_unavailable": {
"ROAD_CLASS_UNKNOWN": "8",
"ROAD_CLASS_1": "5",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "174",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "100",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "9",
"SPEED_0_TO_5_MPS": "157",
"SPEED_5_TO_10_MPS": "69",
"SPEED_10_TO_15_MPS": "28",
"SPEED_15_TO_20_MPS": "15",
"SPEED_20_TO_25_MPS": "3",
"SPEED_25_TO_30_MPS": "5",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "83",
"CURVE_RADIUS_0_TO_100_M": "62",
"CURVE_RADIUS_100_TO_250_M": "20",
"CURVE_RADIUS_250_TO_500_M": "12",
"CURVE_RADIUS_500_TO_1000_M": "52",
"CURVE_RADIUS_1000_TO_2000_M": "11",
"CURVE_RADIUS_2000_TO_5000_M": "37",
"CURVE_RADIUS_5000_TO_10000_M": "5",
"CURVE_RADIUS_10000_TO_100000_M": "3",
"CURVE_RADIUS_100000_OR_ABOVE_M": "0",
"GPS_FUSION_OFF_S": "0",
"GPS_FUSION_ON_S": "288",
"GPS_FIX_OFF_S": "0",
"GPS_FIX_ON_S": "288",
"SATELLITE_RANGE_0_TO_3_S": "0",
"SATELLITE_RANGE_4_TO_7_S": "0",
"SATELLITE_RANGE_8_TO_12_S": "0",
"SATELLITE_RANGE_13_AND_UP_S": "288",
"CELL_NOT_CONNECTED_S": "0",
"CELL_CONNECTED_S": "288"
}
},
"odometry_m": {
"autosteer_on": {
"ROAD_CLASS_UNKNOWN": "0.000000",
"ROAD_CLASS_1": "1700.000000",
"ROAD_CLASS_2": "0.000000",
"ROAD_CLASS_3": "0.000000",
"ROAD_CLASS_4": "0.000000",
"ROAD_CLASS_5": "0.000000",
"ROAD_CLASS_6": "0.000000",
"SPEED_UNKNOWN": "0.000000",
"SPEED_NEGATIVE_MPS": "0.000000",
"SPEED_0_TO_5_MPS": "0.000000",
"SPEED_5_TO_10_MPS": "0.000000",
"SPEED_10_TO_15_MPS": "0.000000",
"SPEED_15_TO_20_MPS": "0.000000",
"SPEED_20_TO_25_MPS": "0.000000",
"SPEED_25_TO_30_MPS": "1700.000000",
"SPEED_30_TO_35_MPS": "0.000000",
"SPEED_35_TO_40_MPS": "0.000000",
"SPEED_40_TO_45_MPS": "0.000000",
"SPEED_45_TO_50_MPS": "0.000000",
"SPEED_50_OR_ABOVE_MPS": "0.000000",
"CURVE_RADIUS_UNKNOWN": "0.000000",
"CURVE_RADIUS_0_TO_100_M": "0.000000",
"CURVE_RADIUS_100_TO_250_M": "0.000000",
"CURVE_RADIUS_250_TO_500_M": "0.000000",
"CURVE_RADIUS_500_TO_1000_M": "0.000000",
"CURVE_RADIUS_1000_TO_2000_M": "0.000000",
"CURVE_RADIUS_2000_TO_5000_M": "0.000000",
"CURVE_RADIUS_5000_TO_10000_M": "0.000000",
"CURVE_RADIUS_10000_TO_100000_M": "1700.000000",
"CURVE_RADIUS_100000_OR_ABOVE_M": "0.000000",
"GPS_FUSION_OFF_M": "0.000000",
"GPS_FUSION_ON_M": "1700.000000",
"GPS_FIX_OFF_M": "0.000000",
"GPS_FIX_ON_M": "1700.000000",
"SATELLITE_RANGE_0_TO_3_M": "0.000000",
"SATELLITE_RANGE_4_TO_7_M": "0.000000",
"SATELLITE_RANGE_8_TO_12_M": "0.000000",
"SATELLITE_RANGE_13_AND_UP_M": "1700.000000",
"CELL_NOT_CONNECTED_M": "0.000000",
"CELL_CONNECTED_M": "1700.000000"
},
"autosteer_available": {
"ROAD_CLASS_UNKNOWN": "0.000000",
"ROAD_CLASS_1": "0.000000",
"ROAD_CLASS_2": "0.000000",
"ROAD_CLASS_3": "0.000000",
"ROAD_CLASS_4": "1300.000000",
"ROAD_CLASS_5": "0.000000",
"ROAD_CLASS_6": "0.000000",
"SPEED_UNKNOWN": "0.000000",
"SPEED_NEGATIVE_MPS": "0.000000",
"SPEED_0_TO_5_MPS": "0.000000",
"SPEED_5_TO_10_MPS": "0.000000",
"SPEED_10_TO_15_MPS": "0.000000",
"SPEED_15_TO_20_MPS": "0.000000",
"SPEED_20_TO_25_MPS": "1300.000000",
"SPEED_25_TO_30_MPS": "0.000000",
"SPEED_30_TO_35_MPS": "0.000000",
"SPEED_35_TO_40_MPS": "0.000000",
"SPEED_40_TO_45_MPS": "0.000000",
"SPEED_45_TO_50_MPS": "0.000000",
"SPEED_50_OR_ABOVE_MPS": "0.000000",
"CURVE_RADIUS_UNKNOWN": "0.000000",
"CURVE_RADIUS_0_TO_100_M": "0.000000",
"CURVE_RADIUS_100_TO_250_M": "0.000000",
"CURVE_RADIUS_250_TO_500_M": "1300.000000",
"CURVE_RADIUS_500_TO_1000_M": "0.000000",
"CURVE_RADIUS_1000_TO_2000_M": "0.000000",
"CURVE_RADIUS_2000_TO_5000_M": "0.000000",
"CURVE_RADIUS_5000_TO_10000_M": "0.000000",
"CURVE_RADIUS_10000_TO_100000_M": "0.000000",
"CURVE_RADIUS_100000_OR_ABOVE_M": "0.000000",
"GPS_FUSION_OFF_M": "0.000000",
"GPS_FUSION_ON_M": "1300.000000",
"GPS_FIX_OFF_M": "0.000000",
"GPS_FIX_ON_M": "1300.000000",
"SATELLITE_RANGE_0_TO_3_M": "0.000000",
"SATELLITE_RANGE_4_TO_7_M": "0.000000",
"SATELLITE_RANGE_8_TO_12_M": "0.000000",
"SATELLITE_RANGE_13_AND_UP_M": "1300.000000",
"CELL_NOT_CONNECTED_M": "0.000000",
"CELL_CONNECTED_M": "1300.000000"
},
"autosteer_unavailable": {
"ROAD_CLASS_UNKNOWN": "0.000000",
"ROAD_CLASS_1": "600.000000",
"ROAD_CLASS_2": "0.000000",
"ROAD_CLASS_3": "0.000000",
"ROAD_CLASS_4": "1900.000000",
"ROAD_CLASS_5": "0.000000",
"ROAD_CLASS_6": "99.500000",
"SPEED_UNKNOWN": "0.000000",
"SPEED_NEGATIVE_MPS": "0.000000",
"SPEED_0_TO_5_MPS": "1500.000000",
"SPEED_5_TO_10_MPS": "99.500000",
"SPEED_10_TO_15_MPS": "400.000000",
"SPEED_15_TO_20_MPS": "0.000000",
"SPEED_20_TO_25_MPS": "0.000000",
"SPEED_25_TO_30_MPS": "600.000000",
"SPEED_30_TO_35_MPS": "0.000000",
"SPEED_35_TO_40_MPS": "0.000000",
"SPEED_40_TO_45_MPS": "0.000000",
"SPEED_45_TO_50_MPS": "0.000000",
"SPEED_50_OR_ABOVE_MPS": "0.000000",
"CURVE_RADIUS_UNKNOWN": "0.000000",
"CURVE_RADIUS_0_TO_100_M": "900.500000",
"CURVE_RADIUS_100_TO_250_M": "99.500000",
"CURVE_RADIUS_250_TO_500_M": "0.000000",
"CURVE_RADIUS_500_TO_1000_M": "0.000000",
"CURVE_RADIUS_1000_TO_2000_M": "1000.000000",
"CURVE_RADIUS_2000_TO_5000_M": "599.500000",
"CURVE_RADIUS_5000_TO_10000_M": "0.000000",
"CURVE_RADIUS_10000_TO_100000_M": "0.000000",
"CURVE_RADIUS_100000_OR_ABOVE_M": "0.000000",
"GPS_FUSION_OFF_M": "0.000000",
"GPS_FUSION_ON_M": "2599.500000",
"GPS_FIX_OFF_M": "0.000000",
"GPS_FIX_ON_M": "2599.500000",
"SATELLITE_RANGE_0_TO_3_M": "0.000000",
"SATELLITE_RANGE_4_TO_7_M": "0.000000",
"SATELLITE_RANGE_8_TO_12_M": "0.000000",
"SATELLITE_RANGE_13_AND_UP_M": "2599.500000",
"CELL_NOT_CONNECTED_M": "0.000000",
"CELL_CONNECTED_M": "2599.500000"
}
}
},
"acc": {
"time_s": {
"acc_on": {
"ROAD_CLASS_UNKNOWN": "0",
"ROAD_CLASS_1": "77",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "28",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "0",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "0",
"SPEED_0_TO_5_MPS": "0",
"SPEED_5_TO_10_MPS": "0",
"SPEED_10_TO_15_MPS": "0",
"SPEED_15_TO_20_MPS": "14",
"SPEED_20_TO_25_MPS": "11",
"SPEED_25_TO_30_MPS": "80",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "1",
"CURVE_RADIUS_0_TO_100_M": "4",
"CURVE_RADIUS_100_TO_250_M": "0",
"CURVE_RADIUS_250_TO_500_M": "5",
"CURVE_RADIUS_500_TO_1000_M": "4",
"CURVE_RADIUS_1000_TO_2000_M": "17",
"CURVE_RADIUS_2000_TO_5000_M": "36",
"CURVE_RADIUS_5000_TO_10000_M": "22",
"CURVE_RADIUS_10000_TO_100000_M": "11",
"CURVE_RADIUS_100000_OR_ABOVE_M": "3"
},
"acc_available": {
"ROAD_CLASS_UNKNOWN": "2",
"ROAD_CLASS_1": "7",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "150",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "51",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "0",
"SPEED_0_TO_5_MPS": "8",
"SPEED_5_TO_10_MPS": "67",
"SPEED_10_TO_15_MPS": "56",
"SPEED_15_TO_20_MPS": "48",
"SPEED_20_TO_25_MPS": "15",
"SPEED_25_TO_30_MPS": "14",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "31",
"CURVE_RADIUS_0_TO_100_M": "6",
"CURVE_RADIUS_100_TO_250_M": "25",
"CURVE_RADIUS_250_TO_500_M": "21",
"CURVE_RADIUS_500_TO_1000_M": "37",
"CURVE_RADIUS_1000_TO_2000_M": "32",
"CURVE_RADIUS_2000_TO_5000_M": "25",
"CURVE_RADIUS_5000_TO_10000_M": "12",
"CURVE_RADIUS_10000_TO_100000_M": "15",
"CURVE_RADIUS_100000_OR_ABOVE_M": "3"
},
"acc_unavailable": {
"ROAD_CLASS_UNKNOWN": "5",
"ROAD_CLASS_1": "0",
"ROAD_CLASS_2": "0",
"ROAD_CLASS_3": "0",
"ROAD_CLASS_4": "117",
"ROAD_CLASS_5": "0",
"ROAD_CLASS_6": "48",
"SPEED_UNKNOWN": "0",
"SPEED_NEGATIVE_MPS": "9",
"SPEED_0_TO_5_MPS": "151",
"SPEED_5_TO_10_MPS": "11",
"SPEED_10_TO_15_MPS": "0",
"SPEED_15_TO_20_MPS": "0",
"SPEED_20_TO_25_MPS": "0",
"SPEED_25_TO_30_MPS": "0",
"SPEED_30_TO_35_MPS": "0",
"SPEED_35_TO_40_MPS": "0",
"SPEED_40_TO_45_MPS": "0",
"SPEED_45_TO_50_MPS": "0",
"SPEED_50_OR_ABOVE_MPS": "0",
"CURVE_RADIUS_UNKNOWN": "51",
"CURVE_RADIUS_0_TO_100_M": "52",
"CURVE_RADIUS_100_TO_250_M": "1",
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},
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}
},
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}
},
"CAMERA_FAILSAFES": {
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}
},
"TRAILER_MODE_ACTIVE": {
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}
},
"CAM_WATCHDOG": {
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}
},
"HK_TW_RESTRICTED": {
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}
},
"CAM_MSG_MIA": {
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}
},
"EAC_REQUEST_TIMEOUT": {
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},
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}
},
"USER_STRIKEOUT": {
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}
},
"ME_MAIN_STATE_NOT_VISION": {
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}
},
"CONTROL_OUTSIDE_LIMITS": {
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},
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}
},
"CONTROL_PATH_UNHEALTHY": {
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}
},
"CONTROL_SOLVER_UNHEALTHY": {
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},
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}
},
"SPEED_LIMIT_EXCEEDED": {
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}
},
"NOT_ON_HIGHWAY": {
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}
},
"VEHICLE_SPEED_ABOVE_MAX_HYST": {
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},
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}
},
"ROAD_ESTIMATOR_NOT_ALLOWED": {
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},
"odometry_m": {
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}
},
"UNKOWN": {
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},
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}
}
},
"config": {
"version": "1.2",
"lc_enable": "true",
"autopilot_car": "true",
"radar_type": "bosch",
"timezone": "Japan\/Tokyo",
"ISO_country_code": "392"
},
"trip_log": "\/telemetry\/trip_log.pb"
}
}no, it's tweaked some more and the size changed a little bit.
Interesting. So it's now keeping track of what kinds of roads AP and TACC are used and available on, and what speeds it is being used at.
Wow, it sure seems like since 2017.34, the AP team for more active. Or the fruits of their labor are more apparent.
Isn't "trip_log": "\/telemetry\/trip_log.pb" a TensorFlow protocol buffer database file?
@jimmy_d Could this be for "shadow mode", or used in some sort of driving simulation back at home base?
Hmm, there are lots of interesting nuggets in there. Glad to finally see things in there that look like they have actually thought about making these cars drive us around, well mostly...=)
lunitiks
Cool James & Black Teacher
Why do these things always come in crazy file formats. Why dont they just make them in Paint, Word, Excel or Windows Media Player. So annoying.
lunitiks
Cool James & Black Teacher
@verygreen what's the difference between the various "ROAD_CLASS"? 1 through 6, I imagine they've got some definition of sorts?
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