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Rivian has announced its Autonomy Sensor Suite for the upcoming R2 platform: • 11 cameras (65 MP total) • 5 radar sensors • 1 LiDAR sensor • No ultrasonic sensors “Cameras are the main workhorse of our sensor suite, generating the bulk of the data fed to the models—but... show more

Nic Cruz Patane

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55,900 views • 6 months ago •via X (Twitter)

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Rivian has done a big upgrade to its autonomy hardware suite in the next-gen R1 platform. 11 cameras with 8x more megapixels, five radars, ultrasonics all around the vehicle, and a new compute platform to handle all the data coming from these sensors.

Rivian has done a big upgrade to its autonomy hardware suite in the next-gen R1 platform. 11 cameras with 8x more megapixels, five radars, ultrasonics all around the vehicle, and a new compute platform to handle all the data coming from these sensors.

Fred Lambert

39,100 views • 2 years ago

You don’t need to have LiDAR and radar in your sensor suite for autonomous driving. Vision-only FSD has no problem driving in dense fog.

You don’t need to have LiDAR and radar in your sensor suite for autonomous driving. Vision-only FSD has no problem driving in dense fog.

Ray

133,706 views • 6 months ago

This new company called Tensor Auto is claiming they’re making the first Level 4 autonomous vehicle that you can personally own. It costs $200,000. 😂 • 37 Cameras • 5 LiDAR Sensors • 11 Radar Units • 22 Microphones • 10 Ultrasonic Sensors • 8 Water-Level Sensors

This new company called Tensor Auto is claiming they’re making the first Level 4 autonomous vehicle that you can personally own. It costs $200,000. 😂 • 37 Cameras • 5 LiDAR Sensors • 11 Radar Units • 22 Microphones • 10 Ultrasonic Sensors • 8 Water-Level Sensors

Nic Cruz Patane

136,019 views • 3 months ago

NEWS: Rivian haș unveiled its Autonomy chip and Gen 3 Autonomy Computer, which the company says is designed to solve the needs of autonomous driving. Chip: • Mutli-chip module • TSMC 5nm • Neural engine: Rivian designed • 800+ TOPS • In-house designed software stack "RAP1 powers the company’s third-generation Autonomy computer, the Autonomy Compute Module 3. Key specs include: • 1600 sparse INT8 TOPS • The processing power of 5 billion pixels per second. • RAP1 features RivLink, a low latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible. • RAP1 is enabled by an in-house developed AI compiler and platform software.” Rivian: “In addition to ACM3, Rivian plans to integrate LiDAR into future R2 models. LiDAR will augment the company’s multi-modal sensor strategy, providing detailed, three-dimensional spatial data and redundant sensing, and improving real-time detection for the edge cases of driving. Our Gen 3 Autonomy hardware including ACM3 and LiDAR is currently undergoing validation and we expect it to ship on R2 models starting at the end of 2026.”

NEWS: Rivian haș unveiled its Autonomy chip and Gen 3 Autonomy Computer, which the company says is designed to solve the needs of autonomous driving. Chip: • Mutli-chip module • TSMC 5nm • Neural engine: Rivian designed • 800+ TOPS • In-house designed software stack "RAP1 powers the company’s third-generation Autonomy computer, the Autonomy Compute Module 3. Key specs include: • 1600 sparse INT8 TOPS • The processing power of 5 billion pixels per second. • RAP1 features RivLink, a low latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible. • RAP1 is enabled by an in-house developed AI compiler and platform software.” Rivian: “In addition to ACM3, Rivian plans to integrate LiDAR into future R2 models. LiDAR will augment the company’s multi-modal sensor strategy, providing detailed, three-dimensional spatial data and redundant sensing, and improving real-time detection for the edge cases of driving. Our Gen 3 Autonomy hardware including ACM3 and LiDAR is currently undergoing validation and we expect it to ship on R2 models starting at the end of 2026.”

Sawyer Merritt

147,981 views • 6 months ago

A startup company from San Jose is claiming they’re making the “first level L4 autonomous vehicle you can own” No pricing has been released yet, but they said deliveries “begin” in 2026. The car has 5 LiDAR, 17 Cameras, and 6 Radar Sensors. It’s hideous with all those sensors 😂

A startup company from San Jose is claiming they’re making the “first level L4 autonomous vehicle you can own” No pricing has been released yet, but they said deliveries “begin” in 2026. The car has 5 LiDAR, 17 Cameras, and 6 Radar Sensors. It’s hideous with all those sensors 😂

Nic Cruz Patane

377,660 views • 10 months ago

.Ring's new lineup of sensors are out now. Confirmed: The Glass Break Sensor does the job.

.Ring's new lineup of sensors are out now. Confirmed: The Glass Break Sensor does the job.

Panos Panay

11,654 views • 21 days ago

Tesla’s vision-only approach to solve FSD got laughed at for many years. People called it reckless, said just cameras would never be enough, and even claimed Tesla was cutting corners. Fast forward to today, it’s pretty clear who was right. “It’s so obvious you can solve this with cameras. Why wouldn’t you solve with cameras? It’s 2026. The self-driving problem is not a sensor problem, it’s an AI problem. The cameras have enough information already. It’s a problem of extracting the information, which is an AI problem.” - Ashok Elluswamy, VP of AI at Tesla. Just like us humans, we drive with eyes, we walk with eyes, literally we do everything with our eyes. We don’t have lidar spinning and laser beams on our heads. We simply see the world and our brain figures it out… all from vision. For so many years, the industry treated autonomy like it was a hardware problem. Like “if cameras struggle, just add more sensors.” That’s exactly how companies like Waymo ended up with sensor towers that look like crazy science projects. So ugly btw too… That approach might have made sense in 2008, but not today! Bc back then, AI wasn’t good enough to truly understand the world. So engineers had no choice but to lean on lidar and radar for help. But today, cameras capture insane amounts of information, I’m talking billions of pixels every second. The thing that was missing was AI intelligence. And when AI can understand why a car is slowing or why a pedestrian is hesitating, or real world things, you just need a better brain instead of more sensors. And now, everyone else is realizing this… the future of autonomy was always about understanding the world through vision, just like we humans do. That’s the bet that Elon and Tesla made early on… he was already years ahead of everyone, when everyone was doubling down on LiDAR and radar, even when so many people mocked them for switching early. Tesla vision for the win!!! 🥇

Tesla’s vision-only approach to solve FSD got laughed at for many years. People called it reckless, said just cameras would never be enough, and even claimed Tesla was cutting corners. Fast forward to today, it’s pretty clear who was right. “It’s so obvious you can solve this with cameras. Why wouldn’t you solve with cameras? It’s 2026. The self-driving problem is not a sensor problem, it’s an AI problem. The cameras have enough information already. It’s a problem of extracting the information, which is an AI problem.” - Ashok Elluswamy, VP of AI at Tesla. Just like us humans, we drive with eyes, we walk with eyes, literally we do everything with our eyes. We don’t have lidar spinning and laser beams on our heads. We simply see the world and our brain figures it out… all from vision. For so many years, the industry treated autonomy like it was a hardware problem. Like “if cameras struggle, just add more sensors.” That’s exactly how companies like Waymo ended up with sensor towers that look like crazy science projects. So ugly btw too… That approach might have made sense in 2008, but not today! Bc back then, AI wasn’t good enough to truly understand the world. So engineers had no choice but to lean on lidar and radar for help. But today, cameras capture insane amounts of information, I’m talking billions of pixels every second. The thing that was missing was AI intelligence. And when AI can understand why a car is slowing or why a pedestrian is hesitating, or real world things, you just need a better brain instead of more sensors. And now, everyone else is realizing this… the future of autonomy was always about understanding the world through vision, just like we humans do. That’s the bet that Elon and Tesla made early on… he was already years ahead of everyone, when everyone was doubling down on LiDAR and radar, even when so many people mocked them for switching early. Tesla vision for the win!!! 🥇

Teslaconomics

19,357 views • 4 months ago

Nissan has unveiled its next-gen driver assist AI technology called ProPilot, which the company says will be on par with Tesla's FSD when it is released by March 2028. “We think ours is smarter than Tesla FSD, just not as polished as a product,” said Nissan. The prototype vehicles feature 11 cameras, 5 radar sensors, and a next-generation LiDAR sensor. "Demonstrated on Ariya prototype vehicles in downtown Tokyo, the system combines Wayve AI Driver software with Nissan’s Ground Truth Perception and next-generation LiDAR."

Nissan has unveiled its next-gen driver assist AI technology called ProPilot, which the company says will be on par with Tesla's FSD when it is released by March 2028. “We think ours is smarter than Tesla FSD, just not as polished as a product,” said Nissan. The prototype vehicles feature 11 cameras, 5 radar sensors, and a next-generation LiDAR sensor. "Demonstrated on Ariya prototype vehicles in downtown Tokyo, the system combines Wayve AI Driver software with Nissan’s Ground Truth Perception and next-generation LiDAR."

Sawyer Merritt

230,528 views • 9 months ago

This Chinese tester puts 3 intelligent driving systems to the test in a construction zone: Huawei ADS, LI AD Max and Tesla FSD, all of which are installed with the currently available software versions in China. FSD is the only one that successfully navigates the zone without any issue. Both ADS and AD Max give up either because it can’t perceive the environment properly or lack of navigation map data. FSD camera-only solution is better than complex sensor suite of lidars, radars, cameras and ultrasonic sensors. To watch the entire video, here is the link:

This Chinese tester puts 3 intelligent driving systems to the test in a construction zone: Huawei ADS, LI AD Max and Tesla FSD, all of which are installed with the currently available software versions in China. FSD is the only one that successfully navigates the zone without any issue. Both ADS and AD Max give up either because it can’t perceive the environment properly or lack of navigation map data. FSD camera-only solution is better than complex sensor suite of lidars, radars, cameras and ultrasonic sensors. To watch the entire video, here is the link:

Ray

98,618 views • 1 year ago

🚨 UNCANNY VALLEY | FROM TESLA TO TENNIS: VISION-ONLY AI INSPIRED BY ELON Swupnil Sahai 🎾🧠: “I think it was probably just going so deep on the vision approach, which was, you know, all these self-driving companies are using various sensors — lidar, radar. Tesla was very adamant about using cameras. I actually, at one point, tried to pitch to Elon that let’s add some radar sensors on the back of the car, but his argument was, well, you’re able to see behind your shoulder when you’re changing lanes without a radar sensor — you’re just using your eyes — so the car should just need cameras. I tried to take that same kind of concept and approach to heart and bring that to Swing Vision. That was really the intuition — was like, hey, if I can see it, the camera can see it as well, and therefore the AI should be able to do it too.”

🚨 UNCANNY VALLEY | FROM TESLA TO TENNIS: VISION-ONLY AI INSPIRED BY ELON Swupnil Sahai 🎾🧠: “I think it was probably just going so deep on the vision approach, which was, you know, all these self-driving companies are using various sensors — lidar, radar. Tesla was very adamant about using cameras. I actually, at one point, tried to pitch to Elon that let’s add some radar sensors on the back of the car, but his argument was, well, you’re able to see behind your shoulder when you’re changing lanes without a radar sensor — you’re just using your eyes — so the car should just need cameras. I tried to take that same kind of concept and approach to heart and bring that to Swing Vision. That was really the intuition — was like, hey, if I can see it, the camera can see it as well, and therefore the AI should be able to do it too.”

Mario Nawfal

84,280 views • 1 year ago

Rivian CEO RJ Scaringe in new interview on self-driving: "Tesla's got a huge fleet. So our approach is we have to catch up with them and compete. And so we're going to have more cameras with better dynamic range. We're going to supplement that with LiDAR that provides better safety for edge case conditions and allows us to train the vision models faster. And the incremental cost to do that is relatively small. And in fact any of the incremental costs that would have been there on its own is offset by the fact that we brought inference in house and reduced the cost of our inference platform so dramatically from what we have in your car. Your car uses an Nvidia inference platform. I say all this because in like the infinite long-term you know, you could make the case that once the models are very very robust you could have less cameras or you may be able to get away with less radar. It's not clear yet if that's the case for covering all these corner cases."

Rivian CEO RJ Scaringe in new interview on self-driving: "Tesla's got a huge fleet. So our approach is we have to catch up with them and compete. And so we're going to have more cameras with better dynamic range. We're going to supplement that with LiDAR that provides better safety for edge case conditions and allows us to train the vision models faster. And the incremental cost to do that is relatively small. And in fact any of the incremental costs that would have been there on its own is offset by the fact that we brought inference in house and reduced the cost of our inference platform so dramatically from what we have in your car. Your car uses an Nvidia inference platform. I say all this because in like the infinite long-term you know, you could make the case that once the models are very very robust you could have less cameras or you may be able to get away with less radar. It's not clear yet if that's the case for covering all these corner cases."

Sawyer Merritt

449,694 views • 3 months ago

Tesla FSD vs Competition in China Tesla is the only one with pure vision, meaning no LiDAR or radar sensors.

Tesla FSD vs Competition in China Tesla is the only one with pure vision, meaning no LiDAR or radar sensors.

Nic Cruz Patane

112,401 views • 3 months ago

Today marks the send off the Tesla Model X. RIP to one of the coolest doors out there. 11+ years ago, Tesla created a new type of ultrasonic sensor capable of delivering sonar functionality through metal, instead of placing ultrasonic sensor pucks on the exterior of the wings.

Today marks the send off the Tesla Model X. RIP to one of the coolest doors out there. 11+ years ago, Tesla created a new type of ultrasonic sensor capable of delivering sonar functionality through metal, instead of placing ultrasonic sensor pucks on the exterior of the wings.

Nic Cruz Patane

42,930 views • 1 month ago

Looks like some Tesla AI FSD testing on the roof of the Giga Texas parking garage today, using a Model Y with the LiDar sensor rack and sensors for ground truth testing & validation. The Model Y appears to be testing obstacle detection & taking the proper actions. Check it out!

Looks like some Tesla AI FSD testing on the roof of the Giga Texas parking garage today, using a Model Y with the LiDar sensor rack and sensors for ground truth testing & validation. The Model Y appears to be testing obstacle detection & taking the proper actions. Check it out!

Joe Tegtmeyer 🚀 🤠🛸😎

47,291 views • 10 months ago

Nighttime conditions can impact camera data, so the Nuro Driver supplements with lidar and radar data. Watch as the Nuro Driver confidently navigates San Francisco streets on a foggy night. For more on the Nuro Driver’s sensor architecture, read: #NuroDriver #AutonomyForAll #AllRoadsAllRides #SelfDriving #AutonomousVehicles #AI

Nighttime conditions can impact camera data, so the Nuro Driver supplements with lidar and radar data. Watch as the Nuro Driver confidently navigates San Francisco streets on a foggy night. For more on the Nuro Driver’s sensor architecture, read: #NuroDriver #AutonomyForAll #AllRoadsAllRides #SelfDriving #AutonomousVehicles #AI

Nuro

14,093 views • 10 months ago

That one time Rivian announced they’re implementing LiDAR into R2 Listen to the crowd. That latency..

That one time Rivian announced they’re implementing LiDAR into R2 Listen to the crowd. That latency..

Nic Cruz Patane

23,738 views • 3 months ago

Everyone is talking about Rivian, and the expert Tesla investors are very confused. Here is Rivian’s timeline: December 2025: Universal hands free everywhere. The system won’t react to traffic signals. Gen 2 models only. Cameras only, no LiDAR. Q1 2026: Point to point, the system will react to traffic signals. Gen 2. Cameras only, no LiDAR. Q4 2026–2027: Level 4 self-driving. Gen 3. LiDAR + cameras. $rivn $tsla $lcid $ev

Everyone is talking about Rivian, and the expert Tesla investors are very confused. Here is Rivian’s timeline: December 2025: Universal hands free everywhere. The system won’t react to traffic signals. Gen 2 models only. Cameras only, no LiDAR. Q1 2026: Point to point, the system will react to traffic signals. Gen 2. Cameras only, no LiDAR. Q4 2026–2027: Level 4 self-driving. Gen 3. LiDAR + cameras. $rivn $tsla $lcid $ev

MoreGainzs

138,568 views • 6 months ago

NEWS: Rivian has announced its autonomy subscription, Autonomy+, launching in early 2026 and priced at $2,500 (one-time) or $50/month. Rivian Gen 3 autonomy platform will include 11 cameras, 5 radars and a front-facing LiDAR. It will be powered by RAP1, Rivian's in-house silicon. Software advancements are coming to the company’s second gen R1 vehicles in the near term with the addition of Universal Hands-Free (UHF), bringing hands-free assisted driving for extended periods: • Available on over 3.5 million miles of roads across the USA and Canada. • Capable of operating off-highway on roads with clearly painted lines. "These features have the potential to make the roads safer, address customer demand and become veritable drivers for the business. We plan to continuously improve the autonomy capabilities of its Gen 2 R1 and future R2 vehicles, with a clear trajectory including point-to-point, eyes off and personal L4."

NEWS: Rivian has announced its autonomy subscription, Autonomy+, launching in early 2026 and priced at $2,500 (one-time) or $50/month. Rivian Gen 3 autonomy platform will include 11 cameras, 5 radars and a front-facing LiDAR. It will be powered by RAP1, Rivian's in-house silicon. Software advancements are coming to the company’s second gen R1 vehicles in the near term with the addition of Universal Hands-Free (UHF), bringing hands-free assisted driving for extended periods: • Available on over 3.5 million miles of roads across the USA and Canada. • Capable of operating off-highway on roads with clearly painted lines. "These features have the potential to make the roads safer, address customer demand and become veritable drivers for the business. We plan to continuously improve the autonomy capabilities of its Gen 2 R1 and future R2 vehicles, with a clear trajectory including point-to-point, eyes off and personal L4."

Sawyer Merritt

348,032 views • 6 months ago

Uber CEO in new interview on which approach to autonomy will win: Tesla’s camera-only or Waymo’s multi-sensor. "In the near term, I think it's going to be very difficult—and Elon would tell me I'm wrong—to build a camera-only product that has superhuman levels of safety. At some point will it be possible? Quite possible yes; Solid state LiDAR is $500. Why not include LiDAR as well in order to achieve super human safety. All of our partners are using a combination of camera, radar and LiDAR, and I personally think that's the right solution, but I could be proven wrong."

Uber CEO in new interview on which approach to autonomy will win: Tesla’s camera-only or Waymo’s multi-sensor. "In the near term, I think it's going to be very difficult—and Elon would tell me I'm wrong—to build a camera-only product that has superhuman levels of safety. At some point will it be possible? Quite possible yes; Solid state LiDAR is $500. Why not include LiDAR as well in order to achieve super human safety. All of our partners are using a combination of camera, radar and LiDAR, and I personally think that's the right solution, but I could be proven wrong."

Sawyer Merritt

459,927 views • 10 months ago

A NASA sensor is helping firefighters stay safe — and gathering critical science data! 🔥👨‍🚒 NASA’s FireSense project installed the sensors on fire bulldozers to alert the firefighters driving them when their surroundings are getting too hot.

A NASA sensor is helping firefighters stay safe — and gathering critical science data! 🔥👨‍🚒 NASA’s FireSense project installed the sensors on fire bulldozers to alert the firefighters driving them when their surroundings are getting too hot.

NASA Earth

29,329 views • 1 month ago