6 ms·
There seem to be some issues. E.g. it recognizes the joggers (0:55) as obstacles even though they're obviously (to a human) on the sidewalk. And when taking a r
by the8472 10y ago
There seem to be some issues. E.g. it recognizes the joggers (0:55) as obstacles even though they're obviously (to a human) on the sidewalk. And when taking a right turn (1:01) it mistakes a hydrant and a parked car in a parking bay on the other side for an obstacle and stops for a moment before noticing that they're not actually in its lane.
I think a polite driver may have slowed down gradually to not startle the joggers, but not stopped if it were avoidable, especially since there was a car behind the tesla.
In the latter case i guess the field of view of the cameras is not wide enough to assess those things during a turn in advance?
- gokhan 10y agoIt passes a single jogger without an issue beforehand, but they were two when the car stopped and left one was relatively close to the lane when the car was approaching. Maybe it wouldn't stop if it was a single jogger.
- xxxxxxxx 10y agoIf you pause it at 0:54 it clearly made a mistake. The foot of the left person is outside the green box, the car thought the person was further forward and to the left of where they really were. Good progress but not ready for prime time.
- y4mi 10y agoyou're looking at it from the wrong perspective. the car just wanted to slow down to give the male driver time to properly look at the female joggers.
- ajmurmann 10y agoI don't want my car to be like the creepy telepathic dog from "A boy and his dog" that is always looking for partners for his owner to mate with.
- LeanderK 10y agoi don't know much about self-driving, but i would not over-interpret the green boxes. Also i don't know if your assessment about the range is true. Seems like a bug.
- TeMPOraL 10y agoThe car might have been playing on the safe side. If you look at the joggers carefully, only the left one is marked as an "in-path object", the other one has just an "object" box. They could probably tune down the collision prediction algorithm just a little bit, but that has to be done very carefully.
- celticninja 10y agoWhy bother, err on the side of caution with pedestrians. The driver is already benefiting from auto pilot, a minor delay due to safety of other road users would be acceptable to most.
- ajmurmann 10y agoIt's inconveniencing other drivers on the road and much more importantly this erratic stopping from a human perspective might make it more likely to cause an accident. Granted the accident would legally be the meat driven car's fault who bumps into the suddenly stopped Tesla. It would still be nice to play well with human drivers who don't have the luxury of relaxing in a self driving car.
- dexterdog 10y agoWell no one think of the coffee?
- fao_ 10y ago> Granted the accident would legally be the meat driven car's fault who bumps into the suddenly stopped Tesla. Exactly. If you bump into the car in front, because they stopped for a percieved hazard, it is your fault for tailgaiting, not their fault for percieving a hazard.
- ghaff 10y agoThat's all very nice in theory but, in the actual real world, if you do a lot of unpredictable braking or other unexpected behaviors, you will basically get hit all the time even if those accidents aren't technically your fault.
- grecy 10y agoInterestingly, it behaved just like a young learner-driver would - play it safe, be cautious, and give extra space to the joggers because a new driver is a little uncertain about controlling a 6,000 lbs hunk of moving steel so close to delicate humans. It's astounding to realize the AI will learn and change it's habits, just like a young human driver learning.
- anotheryou 10y agothe jogger is a problem because the legs are so flimsy :) If you don't see the legs and don't have very accurate 3d vision, the object might just as well stand further away in the middle of the road: http://malea.lacerta.uberspace.de/up/e92e6492-ce56-468b-8e09-c389fd02b273.png http://malea.lacerta.uberspace.de/up/e92e6492-ce56-468b-8e09... I think the hydrant is the same problem: head on you don't have any parallax effect to do know the distance, so if you don't detect where the thing is rooted to the ground you might guess it's in the way. and it completely fails do detect the right end of the lane (the moments before I was amazed how it still drove so fluid) I think 0.25x is the right speed if you want to watch it in realtime
- frik 10y agoDoes this new Telsa autopilot use stereo cameras? Would stereo camera help to have a better 3D vision? Or is a video stream enough to get the 3D data. From the video it looks like lane detection and 2D object recognition. It might use a structure-from-motion (SfM) running on CUDA to get a 3D point cloud out of the 8 cams. Does someone know more about how their new auto pilot works?
- deepnotderp 10y agoI'd imagine they use stereo cameras. AFAIK though, their main sensor is radar.
- hwillis 10y agoThey do not. They have 3 forward cameras (1), but they all point directly forward and are for separate use cases. I've always thought it would make more sense to have two cameras at either side of the windshield rather than one in the middle. The downsides are you need a new method to clear water and debris since the wipers won't hit that area, and there might be limited FOV. Stereo might require some level of calibration to account for camera alignment, maybe they want to avoid that? I would think that implementing stereo would be fairly cheap both computationally and in hardware- if they can get by this well without it, they could pare the stereo computations down to a few frames per second, on specific objects in the scene. Maybe a future update will add binocular cameras in the dash, but they are pretty confident about their current hardware. 1: https://www.tesla.com/en_EU/autopilot https://www.tesla.com/en_EU/autopilot
- juancampa 10y agoI would guess that the car couldn't predict the direction the joggers were moving in. They could be jogging towards the road. We as humans would know that they were running along the road because we see their backs but not necessarily from extrapolating their movement
- juancampa 10y agoI would guess that the car couldn't predict the direction the joggers were moving in. They could be jogging towards the road. We as humans would know that they were running along the road because we see their backs but not necessarily from extrapolating their movement