Zoox
@zoox
Followers
25,542
Following
384
Media
523
Statuses
1,167
We’re reinventing personal transportation — making the future safer, cleaner, and more enjoyable for everyone. #ThisIsZoox
San Francisco, United States
Joined July 2017
Don't wanna be here?
Send us removal request.
Explore trending content on Musk Viewer
#MetGala
• 4789815 Tweets
ariana
• 412952 Tweets
Zendaya
• 390837 Tweets
Lana
• 276904 Tweets
Macklemore
• 213194 Tweets
連休明け
• 185621 Tweets
メットガラ
• 161103 Tweets
GW明け
• 146626 Tweets
Cardi
• 117902 Tweets
Rihanna
• 116252 Tweets
Garden of Time
• 112594 Tweets
Timberwolves
• 88380 Tweets
Katy Perry
• 81890 Tweets
Kendall
• 71596 Tweets
Doja
• 66055 Tweets
Mona Patel
• 60443 Tweets
Blake Lively
• 57079 Tweets
#BakanTekinKoltuğuTerket
• 48822 Tweets
Law Roach
• 46425 Tweets
休み明け
• 39562 Tweets
#성장하는_도경수_Mars
• 30123 Tweets
#BLOSSOM_OutNow
• 27812 Tweets
Switchの後継機
• 27261 Tweets
ゴールデンウィーク明け
• 23656 Tweets
PRABOWOingin YangTERBAIK
• 22517 Tweets
Gobert
• 22332 Tweets
MenataNKRI LebihMAJU
• 21822 Tweets
竹田くん
• 20683 Tweets
Barnsdall
• 19022 Tweets
Haliburton
• 15292 Tweets
ニンダイ
• 13860 Tweets
無料引換クーポン
• 12729 Tweets
Bartlesville
• 12148 Tweets
満員電車
• 12112 Tweets
#家庭教師ヒットマンREBORN
• 11508 Tweets
Druski
• 10194 Tweets
過労自殺
• 10106 Tweets
Pinned Tweet
A ride like no other—engineered from scratch and designed for riders, not drivers. Where will Zoox take you?
Head to our Journal to learn more about what it will be like to ride in a Zoox: .
#ThisIsZoox
16
39
153
Have you ever wondered how Zoox is able to drive autonomously? In this video, we delve into the various parts of our technology stack and explain how they enable our vehicles to safely navigate their surroundings.
#CodeToRoad
#ThisIsZoox
6
33
565
We are delighted to announce that Zoox is teaming up with
@amazon
. We have made great strides in creating autonomous mobility from the ground up, and are excited to continue working with our exceptionally talented team to realize that vision.
30
174
530
San Francisco's 6-way intersections can be tricky to navigate. See how we autonomously handle them here.
10
122
403
Driving downtown, in SF, with prodigious rain, autonomously, with
@BillGates
? We just did that.
7
67
338
There’s a lot to take into consideration when autonomously navigating a busy 6-way intersection - see how we approach it here.
11
74
324
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. Revealing 12.14.2020
7
75
274
Here comes Zoox: the future of transportation. Watch our all-electric vehicle driving autonomously for the first time on the streets of San Francisco.
#ThisIsZoox
48
41
261
Here's yet another example of San Francisco's dynamic streets. Safe autonomous driving involves correctly recognizing and reacting to a multitude of complex scenarios, often in very close succession.
8
69
251
Our vehicles are constantly recognizing and reacting to behaviors like 3-point turns, double-parked vehicles and pedestrians on the road. Often all within a couple of blocks.
7
66
245
Autonomous driving on a rainy day in San Francisco. From wet weather, to busy intersections, jaywalkers and cyclists - we see it all. Sometimes all at once.
5
59
227
Tencia Lee from our Prediction team, and Janek Hudecek, from our Planning & Control team, talk through a ~1-hour drive from Menlo Park to downtown SF on Interstate 280. 100% autonomous, with full perception output. Watch the full drive on YouTube:
2
38
213
Zoox is excited to announce Las Vegas as a target market for our autonomous driving fleet and service. Alongside our beloved SF, Vegas will serve as an anchor market for us to rigorously test and validate, as we continue to create autonomous mobility from the ground up.
5
71
215
Jaywalkers are a common sight in SF. This clip shows how our technology predicts this pedestrian's trajectory, then slows to a stop in order for him to pass safely.
30
58
216
In order to drive safely, it is imperative to know how to share the road with different types of transportation. See how our vehicles detect and handle cars, pedestrians, e-scooters, and bicycles in the following clip.
3
64
205
Come for a drive with us! James Philbin, Sr. Director of Perception & Prediction, and Sarah Tariq, Director of Computer Vision, talk through a ~1-hour drive in bustling SF. 100% autonomous, with full perception output. Watch the full drive on YouTube:
5
78
208
Double-parked vehicles (DPVs) are everywhere in San Francisco; classifying and successfully navigating around them in realtime can be a challenge for autonomous vehicles. Check out how Zoox handles them in these examples:
6
69
208
Parallel parking is a common occurrence in cities, and navigating around those drivers (when it’s safe) helps to avoid congestion. Here, our AI recognizes that the car ahead of us is reversing into a parking space and then adjusts our trajectory to pass it.
7
50
206
One autonomous vehicle. Six years in the making. Join us as we kick off reveal week with a live YouTube watch party. Tomorrow at 9 a.m. PST / 12 p.m. EST.
#ThisIsZoox
11
41
194
Pedestrians don’t only cross the street at marked crosswalks, so safe driving requires tracking and yielding to all pedestrians, wherever they may be.
4
53
191
Driving in the city often requires the ability to fit through very tight spaces.
2
40
189
San Francisco's busy streets provide us with a unique and ever-changing environment to refine our self-driving technology. Here's another example of some of the scenarios our AI experiences and autonomously navigates through on a daily basis.
6
49
188
Today, Zoox has reached a critical milestone in our journey to launch our robotaxi on public roads: becoming the first company to self-certify a purpose-built, fully autonomous, all-electric passenger vehicle to Federal Motor Vehicle Safety Standards. .
9
46
182
Double-parked vehicles can be around any corner. See how we autonomously handle them here.
8
49
179
Narrow alleys can lead to very occluded intersections. Here’s an example of how our sensor system enables our AI to ‘see' around the corner - and the delivery truck - before safely turning right.
1
41
174
Autonomously turning right on red at a busy urban intersection requires awareness of pedestrians and other road users.
2
42
171
Fully autonomous. Completely electric. Bi-directional. A glimpse of what’s to come.
11
48
170
Thanks for the shoutout
@jimmyfallon
. Want to come for a ride next year? Also, keep your eyes on your mailbox ;)
4
26
165
We train our AI to follow the “first in, first out” rule at 4-way intersections, while simultaneously being aware of and responding to whatever may be in its path.
2
47
167
Right on red lights can be tricky. They involve coming to a stop, checking for any pedestrians, and yielding to any oncoming traffic before turning right. See how we do it (fully autonomously) here.
5
36
163
Check out our CEO and CTO taking their first autonomous Zoox ride in downtown SF! Zoox is the future of ride-hailing, built for the city: fully autonomous, all-electric, spacious, and comfortable. We couldn’t be more excited.
#ThisIsZoox
7
33
152
In six years, Zoox has gone from dream to reality: a fully autonomous, all-electric, L5-capable vehicle. Designed from the ground up, built with supreme care, and tested every which way. Here’s a sneak peek of our production line and private test track.
#ThisIsZoox
12
29
153
Check out Zoox on the test track — and see what it sees. This is the first-ever autonomous driving video with full perception output from a purpose-built, L5-capable autonomous vehicle.
#ThisIsZoox
6
33
148
On Monday, we revealed our vehicle. Now, we'd like to give the community an opportunity to learn more about Zoox, our mission, and plans for the future. Join Co-Founder and CTO, Jesse Levinson, for his inaugural Reddit AMA this Friday at 11 a.m. PST.
1
23
150
Come for another drive with us! Marc Wimmershoff, Sr. Director of Planning & Control, and Ekaterina Taralova, Sr. Software Engineer, talk through a 1-hour drive in Las Vegas. One AV stack - scalable for different cities. Watch the entire drive on YouTube:
1
39
143
A huge congratulations to our CEO,
@aicha2evans
, for being named by
@Forbes
as one of this year's 50 Women Over 50. Learn more about her journey to this point, as well as her career advice for all women here:
#ForbesOver50
9
21
148
It was a rainy winter in SF but a little drizzle didn't stop us from driving, or handling DPVs.
3
33
144
Here’s an example of how our AI uses its advanced sensor and perception stack to change lanes and navigate around a previously unmapped construction zone… at night!
2
31
140
Double-parked vehicles (DPVs) are a major source of congestion in SF, so it’s important to be able to identify them quickly and safely pass them.
1
44
141
Our vehicles are trained to autonomously handle construction zones, double-parked vehicles, unprotected left turns, parking cars, and pedestrians. Sometimes all within a few blocks, like you'll see here. YT:
9
28
135
There are many dynamic variables to factor in when crossing in front of oncoming traffic to perform an unprotected left turn. Here’s an example of how our system handles it - fully autonomously.
1
35
136
Our Software team is collaborative and cross-functional, comprised of hundreds of world-class engineers developing our self-driving technology. We’re continually searching for talented and passionate engineers. Interested? Open positions here:
7
32
129
Another common scenario in Las Vegas is multi-lane traffic traveling at high speeds. Here's an example of our system autonomously merging into the flow of traffic, around traffic cones, and then performing a triple lane change. YT:
6
30
128
Driving in dense multiple lane traffic requires our technology to simultaneously track and monitor other vehicles, cyclists, and pedestrians. Downtown San Francisco provides endless scenarios to test and validate this technology. YT:
4
19
128
Another day, another action-packed route to autonomously navigate. Our vehicles track and interpret their surroundings to safely make their way through the busiest of scenarios. YT:
2
30
125
We recently deployed our robotaxi in a larger area in Las Vegas, as well as expanded its driving capabilities to include driving at speeds of up to 45 mph, in light rain, and at night. Autonomously.
Head to our Journal for all the details: .
#ThisIsZoox
3
40
127
Irregular road activity can yield challenging driving situations. Here we yield to a pedestrian before safely proceeding through unmapped roadside construction work in narrow two-way traffic. YT:
0
28
127
If you've ever driven down San Francisco's famous Lombard Street you'd recognize this scene. Our AI relies on a combination of camera, radar and lidar sensors to classify and react to all of the pedestrians, before slowly and safely navigating through. YT:
7
26
122
With more experience, our vehicles are getting even better at handling complex situations. Here, we drive through a tight unmapped construction zone, turn right on red, and safely pass a pedestrian getting in their car. YT:
4
26
121
Expanding to a new city provides us with more opportunities to test our AI’s driving capabilities. The streets of Las Vegas are different from San Francisco and have diverse and unique use cases. One example is more night-time activity. YT:
2
32
116
Zoox is 5! Thank you to all the crew and supporters who’ve made this possible — it’s been an amazing journey so far, with much more to come…
#zoox5years
2
27
115
Changing lanes in bumper-to-bumper Las Vegas traffic is no easy feat. Our AI uses its advanced sensor system to understand and anticipate the trajectories of surrounding vehicles before safely moving into the adjacent lane. YT:
2
33
114
Driving in San Francisco frequently necessitates performing complex maneuvers amongst other vehicles. Here we yield to oncoming traffic before making an unprotected left turn and then passing through narrow two-way traffic. YT:
5
22
116
Double-parked vehicles aren’t the only obstacles that can occlude a vehicle's path. Safe autonomous driving requires detecting and navigating around whatever obstacles may be on the road, even pallets of boxes.
1
33
108
Happy New Year from all of us at Zoox! It’s been a huge year - thank you for joining us for the ride. See you in the future… 😎
1
20
105
Double-parked vehicles can be extra complicated if they're obstructing the view of oncoming traffic. Our AI relies on its sensor system to determine whether the path is clear, before safely proceeding.
1
32
108
When you drive fast you have to be able to stop fast. Head to YouTube to see some of the tests performed to ensure our robotaxi can drive (and stop) safely at speeds up to 75 mph.
#BuildingZoox
12
26
103
It's been a rainy few weeks here in downtown San Francisco. That hasn’t stopped us from driving though, or overtaking double-parked vehicles. YT:
4
23
104
Zoox is nine today! Cheers to almost a decade of incredible growth, innovation, and making history. 🎉✨Thank you to our crew and supporters who have joined us on this incredible journey.
#ThisisZoox
2
12
103
Wishing you a safe and happy holiday season from us all at Zoox! See you next year...
0
25
104
It is important to be able to react to the behavior of other road users, especially when that behavior is unexpected.
3
39
103
While our focus is driving in urban areas, we also drive autonomously on highways. Highways offer a unique set of challenges: entrance ramps, dense traffic traveling at high speeds and multiple lanes to navigate through. Often all in close succession. YT:
3
25
101
As our technology continues to develop, so does our system's ability to simultaneously perceive, classify and track its surroundings – even in densely populated areas like this. How many pedestrians can you count in the first intersection? YT:
1
23
103
We’re excited to announce that we're expanding our L3 testing to Seattle! The city and its often rainy conditions perfectly supplement our existing testing and is an important step in our journey towards commercialization. Find out more here: .
#ZooxDrives
13
23
98
A peek into what we’re up to in Las Vegas. Our robotaxis are driving a route intended to put them through their paces: unprotected turns and multi-way stops—all on busy public roads with cyclists, pedestrians, and cars.
Head to our Journal for more: .…
0
20
101
Our shared fleet of all-electric Zoox vehicles will reduce gas-powered cars on our streets. Less congestion, less pollution. Revealing 12.14.2020.
3
15
97
Computer vision enables our vehicles to understand intricate details about their surroundings. E.g. if a person is looking at their phone or whether flashing lights on a car mean it’s an emergency vehicle. Here's Sarah, Senior Director of Perception, explaining our approach.
1
15
98
1: Computer vision is a vital component of our perception system. It enables our vehicles to understand details about the behavior of pedestrians, like whether they're walking, crouching, or looking at their phones. Here are some examples of it in action.
#ZooxDrives
5
18
99
Build, test, repeat. Here's VH6B on our mini-production line. Once the vehicles come off the line, they undergo rigorous testing and validation, ensuring they function correctly before progressing to full-scale manufacturing.
#BuildingZoox
9
14
96
Our reveal YouTube Watch Party is starting in 10 minutes! See you soon:
2
20
95
We’re building an autonomous vehicle to create safer streets. 94% of all U.S. crashes are caused by human error. Removing these mistakes will save thousands of lives. Revealing 12.14.2020. Source: NTSHA, 2015.
1
16
93
"Today, the
@CA_DMV
granted Zoox an Autonomous Vehicle Tester (AVT) Driverless Testing Permit. This is another important milestone in our efforts to deliver safe, electric, and affordable autonomous mobility to riders in CA." Dr. Mark Rosekind, Chief Safety Innovation Officer
3
15
95
The subtleties of slow-moving traffic require our technology to anticipate the actions of other vehicles, while also being able to respond to the unexpected movements of passing pedestrians. YT:
1
23
94
Pedestrians are ubiquitous in any dense urban environment, so it's important to track and safely react to their actions - regardless of whether they’re walking or, in this case...skating by. YT:
1
21
94
The data collected by our test fleet allowed us to evolve our AI while we prepared our robotaxi for public roads, enabling us to rapidly advance our autonomous driving capabilities.
#ThisIsZoox
2
20
93
Have you ever wondered how Zoox is able to drive autonomously? In our latest video, we delve into the various parts of our technology stack and explain how they enable Zoox's vehicles to navigate their surroundings.
#CodeToRoad
2
25
92
Hello, Las Vegas! We’ve been authorized by the
@NevadaDMV
to operate our robotaxi autonomously on public roads in Nevada. Yet another exciting and integral step on our path to commercial launch. 🎉
Head to our Journal to learn more: .
#ThisIsZoox
5
34
91
Merging into fast-moving freeway traffic often requires predicting the intent of surrounding vehicles, identifying space to merge into, and accelerating or decelerating to enter the freeway safely. See us do just that in this week's video. YT:
2
19
91
Narrow roads can be tricky for AVs as the drivable road is restricted due to the vehicles on either side. Here's an example of our system navigating one, followed by three double-parked vehicles...just for fun. YT:
2
16
92
We're applying the latest techniques in automotive and robotics to build a symmetrical, bidirectional, battery-electric vehicle that solves the unique challenges of autonomous mobility.
#ThisIsZoox
1
8
86
Bidirectional design, four-wheel steering, and a compact length give our robotaxi unique agility and freedom of movement in dense urban environments. Or in games of tic-tac-toe. May the best robot win.
#ThisIsZoox
1
13
87
Zoox isn’t an updated car—it’s a whole new form of transportation. With every detail designed around riders, not drivers. Revealing 12.14.2020.
2
10
87
It can be difficult even for humans drivers to monitor dynamic surroundings when navigating through busy urban settings. Our AI relies on a unique configuration of camera, radar, & lidar sensors to simultaneously track everything & everyone around it. YT:
1
29
88
It’s National Bike to Work Day! Here are some examples of how our AI recognizes and safely shares the road with cyclists here in San Francisco.
1
25
87
Night driving in San Francisco often requires maneuvering around multiple double-parked vehicles. Here, before crossing an intersection, we pass three DPVs in close succession on a two-way road. YT:
3
18
88
We’re excited that our passionate team has crossed 1,000 people today! Are you interested in joining us on our mission to create autonomous mobility from the ground up? We’re hiring:
1
13
88
Pedestrians don’t always walk on sidewalks. Our AI uses its advanced sensor system to understand and anticipate the trajectories of pedestrians (and other road users). YT:
0
28
86
Our purpose-built vehicle is designed to handle the many conditions it may encounter, from potholes, to puddles, and more.
Find out how we test our vehicle's structural durability in the latest episode of Putting Zoox to the Test: .
#BuildingZoox
2
15
85
Construction zones can be tricky to navigate autonomously, in part because they change driving behaviors and typically are not pre-mapped. Here, our AI detects the unmapped traffic cones and safely merges with traffic to maneuver around them. YT:
2
21
84