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mpshizzle

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This stuff is a lot easier to show in a video, and it shows much more detail throughout the process. If you want to check that out, I uploaded under Thunder Volt on Youtube:

Otherwise, if you'd rather read about it, you can stick with the written version :)

A couple of weeks ago I posted about Rivian moving off Mobileye and onto their own autonomy stack. There was a lot of interest in that post, so I figured I would continue to share my testing.

Since then, I wanted to answer the golden question for autonomy: cameras only, or cameras + radar? We know Rivian uses both, but how much and what for? So, I went out and ran a series of experiments to figure out exactly how Rivian’s driver assistance system is leveraging the vehicle’s full sensor suite. The plan is to cover cameras, and then radars to see what changes.

But First - Where are the Cameras and Radars?

• Windshield cameras: Two Rivian units (wide and narrow) + the now-deprecated Mobileye camera.

• Bumper cameras: Front and rear bumper mounted cams.

• Mirror cameras: Each mirror has three – forward-facing, rear-facing, and downward-facing.

• Radar: Five total – one imaging radar dead-center in the front fascia (used heavily for ACC), plus four corner radars (front + rear). The imaging radar can tell distance and exact position in X/Y.

Baseline Run

I first drove around with everything uncovered to get a baseline. In a busy Walmart parking lot (great torture test for the visualizations), the driver display showed vehicles, pedestrians, and angles of vehicles really well.

What stood out: in stop-and-go situations, the system often showed multiple cars queued ahead — something you usually only see on radar-equipped vehicles. This hints that radar is indeed actively feeding the visuals, not just cameras.

Camera Block Test

Next, I taped over all cameras except the old Mobileye unit (just in case Rivian left it as a fallback).

• Result: The display was chaotic. Objects flickered, misidentified vehicle types everywhere, vehicles shaking around onscreen. The Mobileye unit clearly isn’t in play anymore — not even for visualization. Though I did end up covering it just to be sure, but behavior didn't change at all.

• Warnings: The system complained about blocked windshield cameras. In some of my earlier testing I also got warnings for blocked mirror cameras (this is new with this software version). But the mirror camera warning seems to be inconsistent. With those warnings active, Highway Assist and ACC were disabled.

• Weird observation: Even with every camera taped, the system hallucinated lane lines on a road that had none — and they were eerily accurate, following the curvature of the road. Either Rivian is fusing in map data or the radars are estimating road geometry.

When I uncovered just the Rivian windshield cameras, all the warnings disappeared and visuals stabilized (at least for vehicles within the windshield camera's view). Highway Assist worked again, proving that the Rivian autonomy stack now leans very heavily on its own front cameras for steering. Interestingly though, it exhibited a bit of erratic behavior with one (but not all) of the lane changes. It also lost track of the lanes completely in a spot that is very clearly marked. My takeaway: For driving, the radars do the heavy lifting for awareness of surroundings. But that doesn't mean the surround cameras go unused. Though they play a lesser role, they clearly do contribute. The windshield cam on the other hand, absolutely is vital.

Radar Block Test

Next, I covered all the radars using rags with aluminum foil wrapped inside. (I had lots of people staring in a very bad way haha)

• At first, no warnings appeared and ACC still engaged. Eventually, though, the system threw a “radar blocked” warning.

• Despite that, visuals remained excellent. The driver display still identified vehicles correctly and with stability, relying primarily on the cameras.

So, the system is clearly camera-primary for visualization, with radar providing redundancy and confidence.

Takeaways

  1. As it stands Rivian is definitely utilizing both cameras and radars heavily. The driver screen visualization seems to rely more on cameras, with radars filling in while the actual driving seems to rely more on radar with cameras filling in. Except for the windshield cameras. That's vital for both.
  2. Having multiple kinds of sensors allows for a bit of redundancy. When mud or snow gets caked on one or two of the cameras and/or radars, it doesn't completely cripple the system, since it has other sensors to rely on.
  3. Unlike Tesla (which relies on massive fleet data to make vision-only work), Rivian has a much smaller fleet and is compensating with high-quality multimodal sensors.
  4. Future potential: Based on the hallucinated lane lines and perception-first behavior, Rivian is clearly moving toward a system that will eventually go beyond highway geo-locks and adapt better to real-world conditions. Once Rivian's software has matured enough and they have collected enough high quality training data, I could see a future where they go camera only. If they did so, they'd loose the redundancy, but it would be slightly cost adventageous. Only time will tell if they decide to go this route.
Final thought: From this round of testing, Rivian’s choice is clear — not cameras-only, not radar-only, but a hybrid, multimodal autonomy stack. And honestly, that’s probably the smartest move for a company with a smaller fleet size but high-end hardware.

What do you all think?
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godfodder0901

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Very nice job. Too bad most of this covers the gen 2 and not gen 1 suite of cameras. Cool to c the difference between mine (gen 1) and yours (gen 2).
thx for posting
No point looking into how a dead tech stack is utilized, is there?
 

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It felt like they drew a lot of attention to their radar count/quality back when Gen 2 launched, so I wouldn't imagine that sensor modality being dropped so soon.
 

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Unlike Radar, cameras cannot see through heavy fog, rain, or snow. At night even moderate fog and rain can make the camera useless. The main reason I traded in my Tesla for a Rivian is because during the winter, I went from having cruise control 95% of the time to at best 10% of the time when Musk disabled the radar in my Tesla. Without cruise control, there is no self driving...

Removing cross-radar would mean no warning during the above-mention fog/rain conditions when pulling out of a perpendicular parking spot. No warning about pedestrians or cars about to cross in front of you.

I sincerely hope that Rivian would never be so foolish as to make the same mistake Musk did by assuming people never drive in bad weather conditions.
 

portdirect

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Fantastic video! @mpshizzle I've experienced the lane change 'chicken out' several times with the new software on our loaner R1S (without any sensors covered) - so seems its quite a bit more cautious here than mobileye was. That said, the new ADAS right now will eat the diver side tires here in sql - it often drifts over onto the rumble bumps toward the median. 🤣
 
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mpshizzle

mpshizzle

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Fantastic video! @mpshizzle I've experienced the lane change 'chicken out' several times with the new software on our loaner R1S (without any sensors covered) - so seems its quite a bit more cautious here than mobileye was. That said, the new ADAS right now will eat the diver side tires here in sql - it often drifts over onto the rumble bumps toward the median. 🤣
Ha ha yeah the new software is definitely a lot more... Wandry/drunky for lane centering than before. But the team is well aware and I'm shut we'll see improvements on that front in the next update or two
 

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jabanks32 [Previously Banned]

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RJ has been very aggressive with his forecasting of Rivian's autonomy because he knows competitors have better.

The issue is that the poor lane centering here indicates that Rivian has fundamental issues which will not give them good driving anytime soon.

What we have learned from China after recent tests have compared various ADAS systems is that end to end neural networks and more sensors are absolutely not a shortcut to get to good driving faster as RJ claims.

If you look at the test comparing tesla autopilot (not FSD) to chinese cars with lidar and smart assisted tech, it is embarrassing how badly these other cars perform.



The real limitation seems to be training compute. Rivian does not look like they have enough

In order to demonstrate safety with radar (or lidar) you would both have to surpass the performance of FSD with camera only and exceed it by such a margin that lidar proves safer.

The issue is self driving is 99.9% a software problem and getting to that level is very hard.
 

Dark-Fx

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RJ has been very aggressive with his forecasting of Rivian's autonomy because he knows competitors have better.

The issue is that the poor lane centering here indicates that Rivian has fundamental issues which will not give them good driving anytime soon.

What we have learned from China after recent tests have compared various ADAS systems is that end to end neural networks and more sensors are absolutely not a shortcut to get to good driving faster as RJ claims.

If you look at the test comparing tesla autopilot (not FSD) to chinese cars with lidar and smart assisted tech, it is embarrassing how badly these other cars perform.



The real limitation seems to be training compute. Rivian does not look like they have enough

In order to demonstrate safety with radar (or lidar) you would both have to surpass the performance of FSD with camera only and exceed it by such a margin that lidar proves safer.

The issue is self driving is 99.9% a software problem and getting to that level is very hard.
Not surprised you're in this thread to shit on Rivian too.
 

jabanks32 [Previously Banned]

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Not surprised you're in this thread to shit on Rivian too.
huh?

I'm just speaking the truth

How can rivian go from the lane centering they have (with latest update)

To level 3 next year? Using end to end neural networks? What they have been working on for 2+ years already?

Didn't they claim they had solutions back before Gen 1 but people disregarded that it was not a skill issue?
 

Dark-Fx

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huh?

I'm just speaking the truth

How can rivian go from the lane centering they have (with latest update)

To level 3 next year? Using end to end neural networks? What they have been working on for 2+ years already?

Didn't they claim they had solutions back before Gen 1 but people disregarded that it was not a skill issue?
The answer is pretty easy to understand. They haven't been experimenting on their driver base like Tesla does, since you're using them as a comparison. Rivian has still been taking in all of the driving data.
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