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Can You Fool A Self Driving Car?

15 videos recommended on HN
YouTube
2 HN users recommended this demo2 months2025–2026 score 2
Years with an HN recommendation, 2007–2026

HN uses it as the reference demonstration in lidar versus camera debates, though some critics fault its methodology and style.

Mark Rober tests whether self-driving cars can be fooled, comparing a lidar-equipped car with a camera-only Tesla in scenarios including a painted Wile E. Coyote wall and smoke.

“LiDAR passed all of them, while Tesla’s camera-only approach failed half.” (HN, 2025)

2 recommendations · 9 citations · 2 critical · Demos · partly dated

13 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@vault Apr 2025 Recommends
on HN thread Raspberry Pi Lidar Scanner
My opinion is that skipping lidar is nonsense. Check Mark Rober's video, published one month ago, "Can You Fool A Self Driving Car?" where he compares a Tesla with other Lidar-equipped cars: [this video]
Compares a Tesla with lidar-equipped cars.

Citations, criticism and jokes

@latexr Mar 2025 Cites it
on HN thread Can You Fool a Self Driving Car? [video]
To skip the intro and go to the car tests, jump to 8:11. [this video] Spoiler for the results: The Luminar car (using LiDAR) passed all six tests. The Tesla (using only cameras) failed half of them: fog, rain, painted mural.
Test results: lidar car passed all six, Tesla failed three.
@dzhiurgis Mar 2025 Cites it
on HN thread Tesla drives into Wile E. Coyote fake road wall in camera vs. Lidar test
He disabled autopilot right before the crash. Before crash - you can see autopilot is on with rainbow road visualization, then cuts into his reaction, then at crash it's disabled - [this video] Caveat: Autopilot is known to disable itself right before the crash (if it senses it) tho. I doubt this is the case because he would've obviously mentioned.
@thih9 Mar 2025 Cites it
on HN thread The Alexa feature "do not send voice recordings" you enabled no longer available
To be fair, we don’t need a new product, a tesla can do the same[1]. With AIs becoming more powerful and expanding to new areas, it makes even more sense to avoid businesses that are consistently user hostile. I wonder if anti tesla protests and related bad pr will contribute to increased consumer awareness around the topic. [1]: e.g. it can crash into a will e coyote style wall on autopilot: [this video]
@NoTeslaThrow Apr 2025 Cites it
on HN thread Self-Driving Teslas Are Fatally Rear-Ending Motorcyclists More Than Any Other
Read more
> For instance, being distracted, poor reaction times, or not being able to monitor all angles simultaneously. As a pitch for self driving, it's going to be a long time before I trust a computer to do the above better than I do. At the very least adding sensors I don't have access to will give me assurance the car won't drive into a wall with a road painted on it. I don't know how on earth you'd market self-driving as competent without being absurdly conservative about what functionality you claim to be able to deliver. Aggregate statistics about safety aren't going to make me feel emotionally stable when I am familiar with how jerky and skittish the driving is under visually confusing driving conditions. Perhaps vision is sufficient, but it seems hopelessly optimistic to expect to be able to pitch it without some core improvement over human driving (aside from my ability to take the hand off the wheel while driving). Edit: hilariously, there's already a video demonstrating this exact scenario: [this video]
Demonstrates a car driving into a painted wall.
@godelski Apr 2025 Cites it
on HN thread Raspberry Pi Lidar Scanner
Read more
As someone who's done a lot of computer vision, it is insane to skip it. And it's sad because what everyone missed from that viral Mark Rober video [0] was not the Looney Toons wall hit but the fucking kid in the smoke. Add all the cameras and AI you want, you ain't changing the laws of physics: visible light doesn't penetrate smoke. But radar does. Every (traditional) engineer knows that safe systems have redundancy. That safe systems have redundancy through differing modalities. Use cameras, but also use radar, lidar, and even millimeter wave. Using just cameras isn't just tying one hand behind your back, it's shooting yourself in the kneecap afterwards [0] [this video]
The overlooked result is the child in smoke, which cameras cannot see through.
@latexr Aug 2025 Cites it
on HN thread AI is different
Indeed. Mark Rober did some field tests on that exact difference. LiDAR passed all of them, while Tesla’s camera-only approach failed half. [this video]
Field tests: lidar passed all, Tesla camera-only failed half.
@latexr Aug 2025 Cites it
on HN thread AI is different
> Humans use only cameras. Not true. Humans also interpret the environment in 3D space. See a Tesla fail against a Wile E. Coyote-inspired mural which humans perceive: [this video]
Tesla failing against a Wile E. Coyote mural.
@consumer451 Jan 2026 Cites it
on HN thread BYD's cheapest electric cars to have Lidar self-driving tech
I am just some schmoe, but optics alone can be easily spoofed as any fan of the Wile E. Coyote has known for decades. [0] What's crazy to me is that anyone would think that anything short of ASI could take image based world understanding to true FSD. Tesla tried to replicate human response, ~"because humans only have eyes" but largely without even stereoscopic vision, ffs. [0] [this video]
@eldaisfish Mar 2025 Pushes back
on HN thread Tesla drives into Wile E. Coyote fake road wall in camera vs. Lidar test
Here is the original Mark Rober video - [this video] I dislike the fact that Mark's videos appear to increasingly borrow from the Mr Beast style, which is very distracting. There's also the fact that half the video has nothing to do with cars in the first place. The main result here is not surprising - Tesla's vehicles are plagued by a litany of poor engineering decisions, many at a fundamental level. Not using Lidar for depth detection is beyond stupid.

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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