BMW tests next-gen LiDAR to beat Tesla to Level 3 self-driving cars
BMW tests next-gen LiDAR to beat Tesla to Level 3 self-driving cars

BMW tests next-gen LiDAR to beat Tesla to Level 3 self-driving cars

BMW tests next-gen LiDAR to beat Tesla to Level 3 self-driving cars::Tesla's autonomous vehicle tech has been perennially stuck at Level 2 self-driving, as BMW and other rivals try to leapfrog to Level 3.
Tesla's decision to only use cameras and no lidar will bite them in the ass.
*Musk’s. He regularly overrules the Tesla engineers.
https://medium.com/predict/musk-overruled-tesla-engineers-and-now-they-are-in-serious-trouble-2e37269e387a
This. That cocksucker has such a tiny dick fragile ego he makes huge decisions without any expertise simply because he says so. Thats how he built the whole “genius” thing around him. Reality of it is that he is an annoying dumbass who thinks he knows it all and anyone in the same room with more than one brain cell is immediately annoyed with him. But he has a lot of money so i guess LeTtEr X cOoL
Came here to say this. Couldn’t be more on point. Using both cameras and LiDAR in tandem will be necessary for true self driving vehicles.
fortunately LIDAR unit costs are going down, so multiple units, fusing their data with regular camera arrays should resolve a very good view, and be good at error-correcting for each other's shortcomings.
Already is.
Cameras are better for surveillance of people and can better be sold. Lidar data not.
Currently they seem to be leading the race though even though the competition is using radar and lidar
Edit: Am I wrong?
If buy leading the race you mean the only company to have an actual product available for purchase then yeah.
But the reason they were able to get to market so quickly is because they don't actually have any concerns about it being functional or safe. That's a real boon to them because it helps them move quickly ahead of the competition that do care about those things.
Of course one good argue that an unsafe self-driving system is in fact not a self-driving system and therefore they are not the first to market.
Humans drive using “cameras” (eyes) and no LiDAR, that’s the assumption Tesla is making — that a supercomputer can drive 10x better than humans using the same type of sensor. Nobody really knows yet if that’s true but I get the logic.
LiDAR also is UV/visible spectrum and is blocked by dust/fog/snow/rain so it doesn’t help much in many driving situations..
You're making an argument against LiDAR with it using UV/visible spectrum, guess what uses visible spectrum to see stuff? Cameras. And they also have an unfortunate downside of not having good dynamic range, so in very bright/low light situations they probably don't work that well either. Teslas aren't even using infrared cameras to see in the dark to my knowledge.
Unsure why you are downvoted, because that is sound logic. I recall hearing on a podcast of I think a former Tesla engineer that having too many sensors potentially makes things less effective since you have to deal with different types of input, and have to crunch more data, etc. etc. Efficient development also means knowing when to cull unnecessary time sinks.
I hate Elon as much as the next guy, but... Well, humans are obviously not perfect drivers, but Tesla clearly believes that in time, with cameras all around the car (already an improvement over human drivers), a good enough AI solution would be able to match or surpass humans.
It's extremely low band infrared. It's like the infrared lasers from your remote control it's not going to burn you retinas out also that's not how lasers work, you can't convert from invisible light to visible light lasers through refraction or reflection.
That's not how light/laser and prisms work. Prisms only separate out the frequencies that are contained within the light/laser. imagine the light is a sandwich and each frequency is a peice of the sandwich. If you take apart the sandwich you still have the same bread, meat and cheese just not stacked together. That's what the prism is basically doing.