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Night isn't especially concerning for vehicles that have more sensors than simply cameras; headlights and infrared cameras exist. Rather, dealing with winter co

by kibwen 4y ago

Night isn't especially concerning for vehicles that have more sensors than simply cameras; headlights and infrared cameras exist. Rather, dealing with winter conditions seem like the reason that these will be confined to the southwest.

akira2501 4y ago
> Night isn't especially concerning for vehicles that have more sensors than simply cameras This is precisely the type of presumptions I'd like to see tested. I mean, if you're going to go to the trouble of all this and have a 118 acre road course, it seems the height of hubris to just say "well, the sensors will probably be better than cameras at night." It's amazing to me that on Hacker News people people have this puritanical embarrassment over obvious technical questions.
light_hue_1 4y ago
Oh this is definitely false! Night is very concerning and is a problem for computer vision systems. During the day illumination is fairly consistent. Sure the sun moves around, but it's not a spotlight. At night, illumination varies a lot. A detector that works during the day may not work at all at night. This is no joke, there are papers that show dramatic performance losses for tasks like pedestrian detection at night. Cameras are worse at night. They need to be more sensitive which dramatically increases their noise. They may need to have longer exposures leading to blur, which is of course made worse if you are moving the camera. Headlights also don't provide the same visibility so your reactions must be faster. Reflections are a big problem too. Oncoming headlights are also an issue. Nighttime testing will be critical.
- minsc_and_boo 4y ago
  >Cameras are worse at night. They need to be more sensitive which dramatically increases their noise. This is solved by having multiple sensors. Nighttime is really not a problem, especially given the broad spectrum and LIDAR.
dvirsky 4y ago
It could just be that night testing doesn't look as good in a blog post.

by kibwen 4y ago

akira2501 4y ago

> Night isn't especially concerning for vehicles that have more sensors than simply cameras This is precisely the type of presumptions I'd like to see tested. I mean, if you're going to go to the trouble of all this and have a 118 acre road course, it seems the height of hubris to just say "well, the sensors will probably be better than cameras at night." It's amazing to me that on Hacker News people people have this puritanical embarrassment over obvious technical questions.

light_hue_1 4y ago

Oh this is definitely false! Night is very concerning and is a problem for computer vision systems. During the day illumination is fairly consistent. Sure the sun moves around, but it's not a spotlight. At night, illumination varies a lot. A detector that works during the day may not work at all at night. This is no joke, there are papers that show dramatic performance losses for tasks like pedestrian detection at night. Cameras are worse at night. They need to be more sensitive which dramatically increases their noise. They may need to have longer exposures leading to blur, which is of course made worse if you are moving the camera. Headlights also don't provide the same visibility so your reactions must be faster. Reflections are a big problem too. Oncoming headlights are also an issue. Nighttime testing will be critical.

minsc_and_boo 4y ago
>Cameras are worse at night. They need to be more sensitive which dramatically increases their noise. This is solved by having multiple sensors. Nighttime is really not a problem, especially given the broad spectrum and LIDAR.

dvirsky 4y ago

It could just be that night testing doesn't look as good in a blog post.