dji4321234
Joined 3 years ago
Joined 3 years ago
This would almost surely work there too, though.
Make that point, then! Nothing in your original comment suggested this, just hostile dismissal.
Now that you’ve written a more substantive comment I think we actually agree overall. Most operations in the Ukraine-Russia war are manual piloting. Autonomy is over-hyped overall so far. However! A large number of autonomous systems have still been deployed and interest in autonomy is only growing. Both things can be true at the same time.
> Oh gosh.
Come on, read the whole sentence please. Lock on targeting modules are absolutely being superseded by fiber optic as it becomes “easier” to acquire than it used to be.
https://understandingwar.org/backgrounder/battlefield-ai-rev... was posted by a sibling commenter and is a fairly accurate summary to my knowledge, including a substantiation of the notion that depending on how you look at it, lock on modules were a stop-gap before fiber became available or fiber is a stop-gap before good autonomy becomes widespread.
Rather, it is you who does not know what you are talking about. Here is a real frontline video characterizing these systems. Yes, it is all still analog FPV. The lock-on system selects a target and overlays the reticle on the analog video. As the FPV flies closer and encounters the jamming from the target, the lock-on unit ensures it is still a hit.
These have fallen out of favor as fiber optic is a little easier to get than it used to be but they are still in wide use.
A large number of front-line FPV drones are equipped with automated last-second targeting systems like https://www.youtube.com/watch?v=coUwYOyIoAU , based on Chinese NPU IP / CCTV systems and readily available as full solutions on Aliexpress. The basic idea is that if the drone loses control or video link due to EW countermeasures, it can continue to the last target.
Loitering and long-range fixed wing reconnaissance drones have been fully autonomous since the beginning. One common recent technique taken from traditional "big" militaries is the use of loitering autonomous high altitude base stations with Starlink or LTE on them providing coverage to the battlefield below, since it's much harder to jam things when they are flying high above the ground.
Inside-out SLAM strategies and on-device ML are much more interesting and are starting to trickle into COTS drones. For example, the latest DJI drones all use SLAM for return-to-home even when GPS denied: https://www.facebook.com/reel/440875398703491 , and the latest Matrice 4 enterprise drones also have end-user ML model runtimes that can fine-tune flight plans using user-provided logic.
Inside-out last-second targeting is also very popular in Ukraine, with off-the-shelf "find the nearest car/person in analog video, lock to it on signal lost, and send Betaflight MSP stick commands to hit it" modules readily accessible on Aliexpress.
802.11 is not a good fit for FPV video and trying to use it has held non-proprietary-Chinese video systems back quite a lot.
It's not really non-standard so much as it is new-standard or different-standard. Aarch64 officially supports 4K, 16K, and 64K pages. This flexibility in the aarch64 ABI means that most compilers already produce 64K aligned load segments for aarch64, so it's not a huge deal except for software that works at a low level and makes assumptions about mmap (for example).
The main software that's truly affected beyond just needing recompilation or tweaks is x86/x86-64 emulation software, since x86 is pretty tightly coupled to 4k pages.
They're foot-nuking themselves this way, as well. Due to their poor security, DJI are also easily compromised by Western interests and collect a ton of data about Chinese drone operations. I suppose someone could argue they decided that this is worth the cost of the operation, etc., but it seems... odd.
> hire product managers from a pool trained on CCP-sponsored university programs and industry media sources, that have those product managers parroting "useful" beliefs like "more analytics is always better."
The CCP don't need to do any work to make this happen. I totally agree that they benefit, thus my "indistinguishable from malware" comment. But this is how product management works worldwide. Maybe the modern obsession with product telemetry has been a years-long deep intelligence op, but I think it's easier to attribute to standard corporate behavior.
My points were:
* DJI's use of Secneo on Android isn't hiding a "sendAllYourPhotosToTheCCPServerNow" function. This seems obvious but I've seen this take everywhere.
* However, DJI's apps are loaded with telemetry that's indistinguishable from malware. They ARE full of shady things.
* I wouldn't run a DJI app on my own phone.
* I would use a standalone DJI remote for most low to medium assurance applications, because while the shadiness remains in many ways, the threat model is easy to understand and boundaries are pretty easy to draw.
That is, if you opt out of data collection, they seem to be earnestly _trying_ to disable data collection. Unfortunately their apps are a spaghetti monster disaster and it's very difficult for them to get things right, so DJI frequently introduce new features or libraries which contain telemetry they've forgotten to disable. In my experience they do this more often in consumer apps than enterprise apps. I think they might actually have some kind of automated testing or audit applied to their enterprise apps.
Whether this is a conspiracy to introduce subtle surveillance bugs or simple hardware-company-making-software incompetence is of course an exercise left to the reader's paranoia level.
Anyway, I just use DJI RCs and forget network credentials. This limits the DJI bug/malice blast radius surface area to an acceptable range to me, and that's the advice I'd give others, too.
It's also worth noting that these restrictions aren't government imposed in countries besides China, and aren't government-linked besides a request-based "please make this location a no fly zone" process - DJI basically just exported a Chinese concept with hope of building goodwill internationally, and the no-fly zones were invented by DJI from public land use data. That's why other drones don't have no-fly zones but are still allowed for sale, there are frequent mismatches between DJI no-fly zones and real no-fly zones (both false positive and false negative), and why DJI disabled their own no-fly zone feature in much of Europe earlier this year (European mandated no-fly rules passed the responsibility to the consumer instead).
Skydio exited the consumer market. Their drones had good autonomy and flight characteristics. However, they struggled with wireless link quality due to the use of consumer WiFi, and had much older, inferior camera sensors compared to even contemporary DJI drones. They were also ridiculously loud and inefficient. Their enterprise drones are comically expensive and loaded with nickel-and-dime cloud features.
Parrot drones struggle with the same issues as Skydio (Skydio actually used a Parrot remote controller for their consumer drones), plus their autonomy isn't nearly as good as even Skydio's, the overall drone behavior is "clunky" (slow boot times, slow connection times, non-responsive flight controls), and even basic flight is more challenging.
The main issues plaguing US consumer drones are imaging sensors and wireless link. LTE and other well-suited long range wireless technologies capable of handling speed differential between the station and access point are locked in a vault of patents. Imaging sensors are legendarily impossible to acquire in low to moderate quantities and image sensor parameters are carefully locked behind a billion levels of NDA (thus why even the Raspberry Pi camera is full of DRM).
https://www.rcfp.org/wp-content/uploads/2026/04/FAA-drone-ad...
The effort from the EFF is to get the original restriction called back up and vacated - essentially, they want a post-hoc determination that it was illegal, but the restriction is already gone.