Unsure if you’re trolling, but you haven’t listened to what Tesla are actually saying.
Having more sensors is complicating the matter, but yes sure you can do that if you want to. But just using vision simplifies training a huge amount. The more you think about it, the stronger this argument is. Synthesising data is a lot easier if you’re dealing with one fairly homogenous input.
But the real point is that cameras are cheap, so you can stick them in many many vehicles and gather vast amounts of data for training. This is why Waymo will lose - either to Tesla or more likely a Chinese car manufacturer.
I do not like Elon because I do not think nazi salutes or racism are cool, but I do think Tesla are correct here. Waymo wins for a while, then it dies.
I bought mine with cameras and a radar, which they then deprecated and left an unused. Even though autopilot was better when it had radar. Then I realized that this thing would never be self-driving and that its CEO was throwing nazi salutes. Cut my losses and got rid of it. Gotta admit defeat sometimes.
Do Tesla fans think that? I've seen plenty of Tesla fans say that lidar is unnecessary (which I tend to agree with), but never that lidar is actively detrimental as Musk says there.
I mean, humans have only their eyes. And most of them intentionally distract themselves while driving by listening to music, podcasts, playing with their phones, or eating.
I get your point about camera vs lidar. Humans do have other senses in play while driving though. We have touch/vibration (feeling the road surface texture), hearing, proprioception / acceleration sense, etc. These are all involved for me when I drive a car.
Actually humans are fairly good drivers. The average US driver goes almost 2 million miles between causing injury collisions. Take the drunks and drug users out and the numbers for humans look even better.
Unsure if you’re trolling, but you haven’t listened to what Tesla are actually saying.
Having more sensors is complicating the matter, but yes sure you can do that if you want to. But just using vision simplifies training a huge amount. The more you think about it, the stronger this argument is. Synthesising data is a lot easier if you’re dealing with one fairly homogenous input.
But the real point is that cameras are cheap, so you can stick them in many many vehicles and gather vast amounts of data for training. This is why Waymo will lose - either to Tesla or more likely a Chinese car manufacturer.
I do not like Elon because I do not think nazi salutes or racism are cool, but I do think Tesla are correct here. Waymo wins for a while, then it dies.
Because they bought a Tesla with only cameras on it.
Admitting this would be admitting their Tesla will never be self driving.
I bought mine with cameras and a radar, which they then deprecated and left an unused. Even though autopilot was better when it had radar. Then I realized that this thing would never be self-driving and that its CEO was throwing nazi salutes. Cut my losses and got rid of it. Gotta admit defeat sometimes.
Add a tow hitch to Waymos and any car can be autonomous!
Do Tesla fans think that? I've seen plenty of Tesla fans say that lidar is unnecessary (which I tend to agree with), but never that lidar is actively detrimental as Musk says there.
I mean, humans have only their eyes. And most of them intentionally distract themselves while driving by listening to music, podcasts, playing with their phones, or eating.
I get your point about camera vs lidar. Humans do have other senses in play while driving though. We have touch/vibration (feeling the road surface texture), hearing, proprioception / acceleration sense, etc. These are all involved for me when I drive a car.
To be fair, humans are fairly poor drivers and generally can't be trusted to drive millions of miles safely.
Actually humans are fairly good drivers. The average US driver goes almost 2 million miles between causing injury collisions. Take the drunks and drug users out and the numbers for humans look even better.
I don't think averages work that way
Incorrect. Humans are fairly good engineers, so cars are pretty safe nowadays.
If you include minor fender-benders and unreported incidents, estimates drop to around 100,000–200,000 miles between any collision event.
This is cataclysmically bad for a designed system, which is why targets are super-human, not human.