Absolutely love your videos. Zoox cearly values the significant time it takes to produce them, and puts good energy into the presentation. I also like that you really share engineering processes and info, so many other tech videos are all fluff and nothing for the intelligent consumer. Thanks!
Do you think people from all around the world will be able to help map their areas in the future? I would love to map as much as possible, so Services like Zoox will be available for as many people as possible as soon as possible
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Thanks for that inside! Good to see how others try to solve the problem of urban localization :)
Wow! I am always super hyped up about Zoox and the complex challenges they're solving! I really look forward to working on the Zoox team some day in Robotics Software Engineering! Go Zoox!!!
Hi Nathan! We're currently testing our vehicles in preparation for public roads. You can sign up to our newsletter to get updates as we progress towards commercial launch: zoox.com/contact/#newsletter.
Sensors are not the reason why this (or any other intent of self-driving functionality) doesn't work, right? Taking good decisions fast is the biggest challenge, and a MAJOR risk for this futuristic vision. One mistake and... game over
The ability to good decisions requires an accurate understanding of the state of the world. Without good perception systems (and just raw sensor data is too low level, you really need a good semantic understanding), even an incredible planner would not be able to function. Just like how humans don't drive well in low visibility scenarios.
@@LoganKaser right, perception is key but tribial compared to decision-making. We know how the human eye works but not the brain. We can measure distances and place objects on a 3D representation but defining a trajectory in a constantly evolving scenario is at another level. There is a huge amount of possible and unpredictable variations, and it has to deliver a very precise output. Every time. At a very fast rate
Absolutely love your videos. Zoox cearly values the significant time it takes to produce them, and puts good energy into the presentation. I also like that you really share engineering processes and info, so many other tech videos are all fluff and nothing for the intelligent consumer. Thanks!
Thank you! We love producing them! Happy to hear you enjoy :)
It's because they have nothing of substance to show. Autonomy is years away, but hey, someone's gotta do it.
@@Renvoxan HAHAHA. Another random who is just as mistaken as the skeptics who defended the 🐎 before the "metal horse"
@@ZooxTH-cam Get to market BEFORE 2030.
Do you think people from all around the world will be able to help map their areas in the future? I would love to map as much as possible, so Services like Zoox will be available for as many people as possible as soon as possible
Thanks for that inside! Good to see how others try to solve the problem of urban localization :)
Thanks, Tobias!
Wow! I am always super hyped up about Zoox and the complex challenges they're solving! I really look forward to working on the Zoox team some day in Robotics Software Engineering! Go Zoox!!!
Thank you! You can check out all our open positions at zoox.com/careers.
@@ZooxTH-cam Thanks! I did put in my application. Looking forward to hearing from your guys (with some good news) ;)
Where is the ride hailing app for this service in Scotland?
We want Zoox to win. 😎
Thanks, Lee. We're working on it!
@@ZooxTH-cam no time like the present. 😎
When can we expect to see ZOOX vehicles in cities?
Hi Nathan! We're currently testing our vehicles in preparation for public roads. You can sign up to our newsletter to get updates as we progress towards commercial launch: zoox.com/contact/#newsletter.
The auto map is wicked cool and it makes sense
What is your calibration precision ?
awesome video
Amazing
U WILL WIN.
Be 1st to market. Coast-to-coast in the U.S. (i.e. NC to CA & NYC). Get that 🍞🍞🍞🍞
BEFORE 2030.
Good luck Jeff!
Sensors are not the reason why this (or any other intent of self-driving functionality) doesn't work, right? Taking good decisions fast is the biggest challenge, and a MAJOR risk for this futuristic vision. One mistake and... game over
The ability to good decisions requires an accurate understanding of the state of the world. Without good perception systems (and just raw sensor data is too low level, you really need a good semantic understanding), even an incredible planner would not be able to function. Just like how humans don't drive well in low visibility scenarios.
@@LoganKaser right, perception is key but tribial compared to decision-making. We know how the human eye works but not the brain. We can measure distances and place objects on a 3D representation but defining a trajectory in a constantly evolving scenario is at another level. There is a huge amount of possible and unpredictable variations, and it has to deliver a very precise output. Every time. At a very fast rate
He speaks like an AI trying to write an assignment