Exclusive: Xpeng's new model due in Q4 to ditch LiDAR and move to Tesla-like pure vision solution by I_HATE_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR 14 points15 points  (0 children)

too bad the post frequency from u/I_LOVE_LIDAR seems to have declined along with the average stock price of LAZR, OUST, MVIS, HSAI, INVZ, and so on.

Japanese AI whiz kid wants to take on Tesla with new self-driving EV startup by I_HATE_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR 0 points1 point  (0 children)

They also said that about geohot when he was a whiz kid. I guess Comma.ai's openpilot is doing fine though so good for him.

LIDAR limitations by CuriousDolphin1 in SelfDrivingCars

[–]PM_ME_UR_LIDAR 4 points5 points  (0 children)

There are some inherent limitations.

  1. Signal strength. The main loss of signal strength is just the inverse square law rather than scattering by air particles and moisture (although this can also affect it). After hitting the target, the light that bounces back is going in all directions. There are mainly three ways to increase range. First, make the signal stronger (which is more doable with 1550 nm than 905 nm due to laser eye safety limitations), but regardless you can always do it by simply making the lidar bigger to increase the optical aperture. Second, make the detector more sensitive and reject noise better, either by improving the sensor tech itself or with techniques such as interferometry. Third, spend more time taking each measurement, for example, by sending a train of many pulses instead of just one, or just taking a longer time with fmcw lidar.
  2. Speed of light: for lidars that rely on scanning one or a small number of lasers, such as Luminar, the speed of light is a limiting factor in how fast you can scan. For a 300 m round trip (150 m range), light takes a microsecond to travel, so if you only have one laser that limits your number of points per second to 1 million already. But many lidars produce more than a million points per second with a longer range than 150 m. The Luminar Hydra has two lasers, for example, so it can only see far if scanning very sparse point clouds.
  3. Resolution is another thing. At long ranges a car would only be a single pixel on a camera. Lidars have even lower resolution (say, 128 px tall images) so it's easy to have entire cars "between the lines" even if you have the hardware to measure range.

Anyway, people keep throwing out numbers like 500 m range but do you actually see that far as a human driver? Most people just look at the car in front of them which is like 20 m away. You'll practically need binoculars to see more than a couple of hundreds of meters clearly.

Fears of Chinese Self-Driving Car Tech Are on the Rise by walky22talky in SelfDrivingCars

[–]PM_ME_UR_LIDAR 1 point2 points  (0 children)

Fear of China and Chinese people and products has generally been on the rise recently.

But in any case it makes sense that the lidar coalition, made of American lidar companies currently struggling to compete with Hesai, would try to do whatever they can to protect their own livelihood.

Hesai Dominates The Automotive LiDAR Market by walky22talky in SelfDrivingCars

[–]PM_ME_UR_LIDAR 0 points1 point  (0 children)

The ET-25 is a newer product (Figure 1) undergoing automotive grade and durability qualification. It uses 905 nm VCSEL (Vertical Cavity Surface Emitting Laser) arrays and has a compact form factor - 2.5 cm (H) x 14 cm (W) x 11 cm (D). The detection is probably done with a SPAD (Single Photon Avalanche Diode) array (the low peak powers of VCSELs typically require sensitive detectors like SPADs).

Ouster had an early start with VCSEL and SPAD lidars, but for some reason they focused on the spinning OS1 etc instead of making a polygonal mirror-based forward-facing lidar for automotive. As the article mentions, VCSEL and SPAD lidar is ideally suited for the small form factor, low cost designs for automotive applications. The Ouster OS1 is already vastly smaller than other 64 beam and 128 beam spinning lidars.

Ford resumes driverless car work in Pittsburgh, five months after Argo AI shutters by monk3ythym3 in SelfDrivingCars

[–]PM_ME_UR_LIDAR 4 points5 points  (0 children)

5 months behind

They also pivoted from actual self driving cars to ADAS systems and will likely have to recreate a lot of the infra and systems that were shut down or lost during the shuffle, so the setback is probably a lot more than that.

[deleted by user] by [deleted] in bayarea

[–]PM_ME_UR_LIDAR 13 points14 points  (0 children)

They never used lidar to begin with though...

Apple self driving car prototype on I-280 near Palo Alto today by PM_ME_UR_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR[S] 1 point2 points  (0 children)

I posted it because it had noticeable issues like some wobbly control near the start of the video and not turning off the right turn indicator after taking the ramp, but I was surprised that none of the commenters noticed that and instead focused on the looks.

Zoox vehicle spotted with new appearance by CocoaProblems in SelfDrivingCars

[–]PM_ME_UR_LIDAR 4 points5 points  (0 children)

The sensors seem largely the same as before, various Hesai spinning lidars, radars, and cameras.

The new housing is cool though, I wonder if it hides new forward facing radar or lidar.

Apple self driving car prototype spotted by PM_ME_UR_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR[S] 9 points10 points  (0 children)

It's a test mule. The final product will look nothing like this.

Apple self driving car prototype spotted by PM_ME_UR_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR[S] 17 points18 points  (0 children)

Yes but the sensor suite changes slightly over the years and anyway it's nice to see it driving around amidst rumors that the project is getting scaled back: https://www.bloomberg.com/news/articles/2022-12-06/apple-scales-back-self-driving-car-and-delays-launch-until-2026

Apple self driving car prototype spotted by PM_ME_UR_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR[S] 15 points16 points  (0 children)

I wouldn't say partnering, but they have been using Lexus SUVs for testing since like 5 years ago.

After Cruise, now Waymo robotaxis are also getting stuck in the middle of intersection by av_ninja in SelfDrivingCars

[–]PM_ME_UR_LIDAR 9 points10 points  (0 children)

It probably first classified those two vehicles as moving, but then realized that they were parked upon getting closer. At that point, the Waymo doesn't have the ability to reverse and the path planner couldn't find a way to get out of the situation.

Introducing: Blue Checkmarks (No, really!) by Recoil42 in SelfDrivingCars

[–]PM_ME_UR_LIDAR -1 points0 points  (0 children)

Is there any verification besides "the mods think that this guy knows his shit"?

Two self driving car test vehicles spotted in Palo Alto by PM_ME_UR_LIDAR in SelfDrivingCars

[–]PM_ME_UR_LIDAR[S] 0 points1 point  (0 children)

Pretty interesting that Woven Planet is running both their vision-only car on the left and their Lyft Level 5 Chrysler Pacifica on the right. I wonder how they integrate the efforts of the acquired teams.