Comma is offering their
Comma Flash Sale: $200 Off Comma 3X w/ Purchase of a Select Vehicle/Car Harness (
+$200) on sale for $1050 (
discount will be reduced in cart) =
$1250.
Shipping is free.
Thanks to community member
Forprofit for finding this deal
Note, please select the drop down menu to select the compatible vehicle/car harness to connect the Comma 3X to your car.
Includes- Comma 3X
- 1.5' Right angle OBD-C Cable
- 2-Mounts w/ Adhesive/Alcohol Wipes
- Selected Vehicle Hardness to Comma 3X
About the Product- Qualcomm Snapdragon 845
- 2160x1080 OLED Display
- 128GB Internal Storage
- WiFi/LTE/High Precision GPS Connectivity
- IR LED Interior Night Vision Monitoring
- CAN FD Vehicles Enabled
- 3x 1080p Camera w/ 140 dB of Dynamic Range; Dual-Cam 360 Vision & Narrow Cam
- OBC-C Port (USB-C w/ CAN) + USB 3.1 Gen 2 Port
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Top Comments
i have it on my 2020 Lexus UX250h and my 2022 RX450H
it takes driving to level 2 autonomous driving.
it will keep you in lane without having hands on the wheel.
it will keep you in lane when you are braking
it will keep you in lane during stop and go traffic.
it will do stop and go traffic. you can have both hands on a big mac in traffic and the car will start and stop.
FYI i bought mine when it was $2500 plus 200 for the cable. $1050 right now is cheap AF.
There are clones out there but i read constantly of failures. mine has worked flawlessly.
I run sunny pilot fork.
You dont need to drive a lot to need this or appreciate this device. its one of those things, once you have it and use it you'll never want to go back LOL.
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i have it on my 2020 Lexus UX250h and my 2022 RX450H
it takes driving to level 2 autonomous driving.
it will keep you in lane without having hands on the wheel.
it will keep you in lane when you are braking
it will keep you in lane during stop and go traffic.
it will do stop and go traffic. you can have both hands on a big mac in traffic and the car will start and stop.
FYI i bought mine when it was $2500 plus 200 for the cable. $1050 right now is cheap AF.
There are clones out there but i read constantly of failures. mine has worked flawlessly.
I run sunny pilot fork.
You dont need to drive a lot to need this or appreciate this device. its one of those things, once you have it and use it you'll never want to go back LOL.
Has anyone here actually used this?
Based on comments, sounds like it's a autopilot standalone add-on?
Like when built-in car GPS was for rich folks, then came gps device and smartphones?
Motor so TI is not a must ( thought TI would be better)
Openpilot doesn't certify TI an RI so I am concerned to experiment over experimental features
Anyone used this with an Infiniti?
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As a MC rider -someone driving with Comma is not necessarily more dangerous than any of the other cagers that we encounter. Is it possible to get rear ended? Sure, but also just as likely to get rear ended by someone not paying attention.
As a Comma user -stopped vehicle detection is experimental at best, and it will likely not detect and stop for a motorcycle. Whether that's with radar or with visual acc. Neither method has good enough perception to recognize the object (at least not today).
As an industry professional -theres a reason why we still don't have reliable level 5 self driving. It's just not good enough to handle all scenarios. The only way to get around the deficiency right now is to geofence the areas that you operate in, and use HD mapping, lidar, etc etc to try and solve as many scenarios as possible. But even 99.9% reliable isn't good enough. The 0.1% of time that you run over a pedestrian or bicycle, isn't an acceptable loss.. that's why there are still trained operators behind the wheel in most cases.
As a MC rider -someone driving with Comma is not necessarily more dangerous than any of the other cagers that we encounter. Is it possible to get rear ended? Sure, but also just as likely to get rear ended by someone not paying attention.
As a Comma user -stopped vehicle detection is experimental at best, and it will likely not detect and stop for a motorcycle. Whether that's with radar or with visual acc. Neither method has good enough perception to recognize the object (at least not today).
As an industry professional -theres a reason why we still don't have reliable level 5 self driving. It's just not good enough to handle all scenarios. The only way to get around the deficiency right now is to geofence the areas that you operate in, and use HD mapping, lidar, etc etc to try and solve as many scenarios as possible. But even 99.9% reliable isn't good enough. The 0.1% of time that you run over a pedestrian or bicycle, isn't an acceptable loss.. that's why there are still trained operators behind the wheel in most cases.
Lat week I was next to a Tesla driver on I5. He was 3/4 the way into the back seat looking for something in a duffle bag. I didn't like it.
As a MC rider -someone driving with Comma is not necessarily more dangerous than any of the other cagers that we encounter. Is it possible to get rear ended? Sure, but also just as likely to get rear ended by someone not paying attention.
As a Comma user -stopped vehicle detection is experimental at best, and it will likely not detect and stop for a motorcycle. Whether that's with radar or with visual acc. Neither method has good enough perception to recognize the object (at least not today).
As an industry professional -theres a reason why we still don't have reliable level 5 self driving. It's just not good enough to handle all scenarios. The only way to get around the deficiency right now is to geofence the areas that you operate in, and use HD mapping, lidar, etc etc to try and solve as many scenarios as possible. But even 99.9% reliable isn't good enough. The 0.1% of time that you run over a pedestrian or bicycle, isn't an acceptable loss.. that's why there are still trained operators behind the wheel in most cases.
Could you be more specific about which circumstances you would or would not trust a Comma to always recognize and stop behind a motorcycle?
For example:
- adaptive cruise control following a motorcycle,
- adaptive cruise control coming upon abruptly stopped traffic, with a motorcycle in the back of the traffic
- adaptive cruise control with a motorcycle cutting in front and then hitting the brakes
Would you expect the Comma to respond better/worse/equal, as compared to Toyota Safety Sense 2.5?Thank you!
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Human eyes can see things out to maybe a mile. Our perception of the environment is actually pretty good.
Let's say we use a camera to detect things. Does our camera have enough pixels to actually see an object? Think about if you take a photo of something far away.. it's usually a bit blurry. But as we get closer, the image becomes more clear.
Then we need processing power - how do we determine that those pixels are getting larger as we approach it, and also determine that it's not moving away for us, so we can make a decision to stop?
We're still at an early stage of being able to do this with camera images, but I have no doubt that AI will help immensely to solve these problems in the future.
For following a motorcycle - assuming you've got the radar tracking the MC as it comes to a stop, definitely possible for us to slow at the same rate and come to a stop. However, a single radar has no redundancy and if it loses that radar track, we could have a problem. The redundancy is the human driver taking over and applying the brakes in this scenario.
For MC cutting in - unless we have some kind of perception to the side, we won't recognize it until it gets right in front of our radar/camera setup that's pointed to the front.
If you have say a lidar or camera looking at the side (or human eyeballs looking at the mirror), then we can determine the direction and velocity of the MC, and start braking before it cuts in.
As for Comma vs TSS2.5 - the TSS base system relies solely on radar. Comma has some experimental stuff using the camera to detect objects ahead, so arguably with a camera you could see things like pedestrians and red lights/stop signs which would be impossible with radar. Camera has the potential to be more powerful, but this is dependent on training the system with enough images to "learn" the environment. ie, like teaching a child to understand what's a red vs green light - they have to see it many times in order to understand what it means and how to react.
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