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I know they disagree with me, they have multiple reasons to bury their heads in the sand. Admitting they were wrong would be a PR disaster, it would probably h

by JackCh 8y ago

I know they disagree with me, they have multiple reasons to bury their heads in the sand. Admitting they were wrong would be a PR disaster, it would probably hurt Elon's ego, and a recall to retrofit LIDAR would probably be extremely costly. But if you talk with the leading experts in the field of car automation, the research groups who are actually making it work to some degree today, they are all using LIDAR. Furthermore you have people like the CTO of Mobileye saying that Tesla was trying to push Mobileye's tech beyond what it's capable of (past tense was, because Mobileye apparently dropped Tesla over this, prompting Tesla to develop their own presumably equivalent non-LIDAR solution in house): https://arstechnica.com/cars/2016/09/tesla-dropped-by-mobileye-for-pushing-the-envelope-in-terms-of-safety/ https://arstechnica.com/cars/2016/09/tesla-dropped-by-mobile...

ageofwant 8y ago
No. LIDAR has its place, but it certainly a tech that has seen its day. Integrated sensor arrays consisting of multiple cameras and image processors can build more accurate situational awareness pictures faster. And to imply that Tesla's automation assist is not working is ridiculous.
- gamblor956 8y ago
  I think you have an unrealistic understanding of the state of visual processing systems today. The hardware simply isn't capable of the processing necessary to develop 360-degree situational awareness at the speeds that a vehicle would be driving.
- JackCh 8y ago
  On the contrary, LIDAR is only recently coming into its own: https://www.bloomberg.com/news/articles/2017-01-08/alphabet-s-waymo-cuts-cost-of-key-self-driving-sensor-by-90 https://www.bloomberg.com/news/articles/2017-01-08/alphabet-... https://arstechnica.com/cars/2017/01/googles-waymo-invests-in-lidar-technology-cuts-costs-by-90-percent/ https://arstechnica.com/cars/2017/01/googles-waymo-invests-i... What I'm 'implying' (saying outright I thought) is that Tesla hardware is unsuitable for the continued advance of automation functionality. What they're doing currently is already pushing their inadequate sensors to the limit.
- simion314 8y ago
  Are Tesla cars equipped with enough processing power? I agree that with some good cameras a ton of processing power and a super AI you could avoid crashes, I mean Tesla hit a fire Truck, the cameras would have been enough to detect the obstacle but the AI or the hardware needed to process the camera output is years behind what it should be.

by JackCh 8y ago

ageofwant 8y ago

No. LIDAR has its place, but it certainly a tech that has seen its day. Integrated sensor arrays consisting of multiple cameras and image processors can build more accurate situational awareness pictures faster. And to imply that Tesla's automation assist is not working is ridiculous.

gamblor956 8y ago
I think you have an unrealistic understanding of the state of visual processing systems today. The hardware simply isn't capable of the processing necessary to develop 360-degree situational awareness at the speeds that a vehicle would be driving.
JackCh 8y ago
On the contrary, LIDAR is only recently coming into its own: https://www.bloomberg.com/news/articles/2017-01-08/alphabet-s-waymo-cuts-cost-of-key-self-driving-sensor-by-90 https://www.bloomberg.com/news/articles/2017-01-08/alphabet-... https://arstechnica.com/cars/2017/01/googles-waymo-invests-in-lidar-technology-cuts-costs-by-90-percent/ https://arstechnica.com/cars/2017/01/googles-waymo-invests-i... What I'm 'implying' (saying outright I thought) is that Tesla hardware is unsuitable for the continued advance of automation functionality. What they're doing currently is already pushing their inadequate sensors to the limit.
simion314 8y ago
Are Tesla cars equipped with enough processing power? I agree that with some good cameras a ton of processing power and a super AI you could avoid crashes, I mean Tesla hit a fire Truck, the cameras would have been enough to detect the obstacle but the AI or the hardware needed to process the camera output is years behind what it should be.