Fly Like You Drive With This Flying RC Drift Car

So it’s 2023, and you really feel like we should have flying cars by now, right? Well, as long as you ignore the problem of scale presented by [Nick Rehm]’s flying RC drift car, we pretty much do.

At first glance, [Nick]’s latest build looks pretty much like your typical quadcopter. But the design has subtle differences that make it more like a car without wheels. The main difference is the pusher prop at the aft, which provides forward thrust without having to pitch the entire craft. Other subtle clues include the belly-mounted lidar and nose-mounted FPV camera, although those aren’t exactly unknown on standard UAVs.

The big giveaway, though, is the RC car-style remote used to fly the drone. Rather than use the standard two-joystick remote, [Nick] rejiggered his dRehmFlight open-source flight control software to make operating the drone less like flying and more like driving. The lidar is used to relieve the operator of the burden of altitude keeping by holding the drone at about a meter or so off the deck. And the video below shows it doing a really good job of it, for the most part — with anything as complicated as the multiple control loops needed to keep this thing in the air, it’s easy for a sudden input to confuse things.

We have to admit that [Nick]’s creation looks like a lot of fun to fly, or drive — whichever way you want to look at it. Either way, we like the simplification of the flight control system and translating the driving metaphor into flying — it seems like that’ll be something we need if we’re ever to have full-size flying cars.

Continue reading “Fly Like You Drive With This Flying RC Drift Car”

UAV Flight Controller Saves Weight

When building autonomous airborne vehicles like drones or UAVs, saving a little bit of weight goes a long way, literally. Every gram saved means less energy needed to keep the aircraft aloft and ultimately more time in the air, but unmanned vehicles often need to compromise some on weight in order to carry increased computing abilities. Thankfully this one carries a dizzying quantity of computer power for an absolute minimum of weight, and has some clever design considerations to improve its performance as well.

The advantage of this board compared to other similar offerings is that it is built to host a Raspberry Pi Compute Module 4, while the rest of the flight controllers are separated out onto a single circuit board. This means that the Pi is completely sandboxed from the flight control code, freeing up computing power on the Pi and allowing it to run a UAV-specific OS like OpenHD or RubyFPV. These have a number of valuable tools available for unmanned flight, such as setting up a long range telemetry and camera links. The system itself supports dual HD camera input as well as additional support for other USB devices, and also includes an electronic speed controller mezzanine which has support for quadcopters and fixed wing crafts.

Separating non-critical tasks like cameras and telemetry from the more important flight controls has a number of benefits as well, including improved reliability and simpler software and program design. And with a weight of only 30 grams, it won’t take too much cargo space on most UAVs. While the flight computer is fairly capable of controlling various autonomous aircraft, whether it’s a multi-rotor like a quadcopter or a fixed wing device, you might need a little more computing power if you want to build something more complicated.

Screenshot of the SDR software in action, with decoded data in a terminal, and a map that shows the location received from the decoded data

Loudmouth DJI Drones Tell Everyone Where You Are

Back when commercial quadcopters started appearing in the news on the regular, public safety was a talking point. How, for example, do we keep them away from airports? Well, large drone companies didn’t want the negative PR, so some voluntarily added geofencing and tracking mechanisms to their own drones.

When it comes to DJI, one such mechanism is DroneID: a beacon on the drone itself, sending out a trove of data, including its operator’s GPS location. DJI also, of course, sells the Aeroscope device that receives and decodes DroneID data, declared to be for government use. As it often is with privacy-compromising technology, turns out it’s been a bigger compromise than we expected.

Questions started popping up last year, as off-the-shelf quadcopters (including those made by DJI) started to play a part in the Russo-Ukrainian War. It didn’t take long for Ukrainian forces to notice that launching a DJI drone led to its operators being swiftly attacked, and intel was that Russia got some Aeroscopes from Syria. DJI’s response was that their products were not meant to be used this way, and shortly thereafter cut sales to both Russia and Ukraine.

But security researchers have recently discovered the situation was actually worse than we expected. Back in 2022, DJI claimed that the DroneID data was encrypted, but [Kevin Finisterre]’s research proved that to be a lie — with the company finally admitting to it after Verge pushed them on the question. It wouldn’t even be hard to implement a worse-than-nothing encryption that holds up mathematically. However, it seems, DroneID doesn’t even try: here’s a GitHub repository with a DroneID decoder you can use if you have an SDR dongle.

Sadly, the days of companies like DJI standing up against the anti-copter talking points seem to be over, Now they’re setting an example on how devices can subvert their owners’ privacy without reservation. Looks like it’s up to hackers on the frontlines to learn how to excise DroneID, just like we’ve done with the un-nuanced RF power limitations, or the DJI battery DRM, or transplanting firmware between hardware-identical DJI flight controller models.

Continue reading “Loudmouth DJI Drones Tell Everyone Where You Are”

Stranded Motorist Effects Own Rescue Using A Drone And A Cell Phone

If you’re looking for a good excuse to finally buy a drone, you probably can’t do better than claiming it can save your life.

Granted, you may never find yourself in the position of being stuck in a raging snowstorm in the middle of the Oregon wilderness, but if you do, this is a good one to keep in mind. According to news stories and the Lane County Sheriff Search and Rescue Facebook page, an unnamed motorist who was trying to negotiate an unmaintained road through the remote Willamette National Forest got stuck in the snow. This put him in a bad situation, because not only was he out of cell range, but nobody knew where he was or even that he was traveling, so he wouldn’t be missed for days.

Thankfully, the unlucky motorist played all his cards right. Rather than wandering off on foot in search of help, he stayed with his vehicle, which provided shelter from the elements. Conveniently, he also happened to have a drone along with him, which provided him with an opportunity to get some help. After typing a detailed text message to a friend describing his situation and exact location, he attached the phone to his drone and sent it straight up a couple of hundred feet — enough to get a line-of-sight connection to a cell tower. Note that the image above is a reenactment by the Search and Rescue team; it’s not clear how the resourceful motorist rigged up the drone, but we’re going to guess duct tape was involved.

When he brought the drone back down a few minutes later, he found that the queued text had been sent, and the cavalry was on the way. The Search and Rescue unit was able to locate him, and as a bonus, also found someone else nearby who had been stranded for days. So it was a win all around thanks to some clever thinking and a little technology.

da Vinci-like quadcopter

Renaissance-Style Drone Would Make Da Vinci Proud Four Times Over

For as much of a genius as Leonardo da Vinci obviously was, modern eyes looking upon his notebooks from the 1400s tend to see his designs as somewhat quaint. After all, his concept of a vehicle armored with wood would probably only have survived the archers and pikemen of a Renaissance battlefield, and his curious helicopter driven by an Archimedes screw would certainly never fly, right?

Don’t tell that to [Austin Prete] and his team from the University of Maryland, who’ve built a da Vinci-style quadcopter that actually flies. Called the “Crimson Spin”, the quad is based on a standard airframe and electronics. Details are sparse — the group just presented the work at a vertical flight conference — but it appears the usual plastic props are replaced with lightweight screws made from wire and some sort of transparent plastic membrane. Opposing pairs of screws have the opposite handedness, which gives the quad yaw control. There’s a video embedded in the link above that shows the quad being tested both indoors and out, and performing surprisingly well. We’d imagine that Crimson Spin might not do so well on a windy day, given the large wind cross-section those screws present, but the fact it got off the ground at all is cool enough. It kind of makes you wonder where we’d be today if da Vinci had access to BLDCs.

For as fanciful as da Vinci’s designs can be, we’ve seen a fair number of attempts to recreate them in modern materials. His cryptex is a perennial favorite for hackers, and his bizarre piano-esque “viola organista” has been attempted at least once.

Thanks to [Peter Ryseck] for this tip.

Inverted Pendulum Balanced On A Drone

[Nicholas Rehm] works during the day at the Applied Physics Laboratory at Johns Hopkins, Maryland, so has considerable experience with a variety of UAV applications. The question arose about how the perseverance mars rover landing worked, which prompted [Nicholas] to hang a rock under his drone, attached via a winch. This proved to be interesting. But what is more interesting for us, is what happens when you try to attach an inverted pendulum to the top of a drone in flight? (video embedded, below)

This is a classic control theory problem, where you need to measure the angle of the pendulum with respect to the base, and close the loop by calculating the necessary acceleration from the pendulum angle. Typically this is demonstrated in one dimension only, but it is only a little more complicated to balance a pendulum with two degrees of freedom.

[Nicholas] first tried to derive the pendulum angle by simply removing the centering springs from an analog joystick, and using it to attach the pendulum rod to the drone body. As is quite obvious, this has a big drawback. The pendulum angle from vertical is now the sum of the joystick angle and the drone angle, which with the associated measurement errors, proved to be an unusable setup. Not to be discouraged, [Nicholas] simply added another IMU board to the bottom of the pendulum, and kept the joystick mechanism as a pivot only. And, as you can see from the video after the break, this indeed worked.

The flight controller is [Nicholas’] own project, dRehmFlight (GitHub), which is an Arduino library intended for the Teensy 4.0, using the ubiquitous MPU6050 6-DOF IMU. [Nicholas] also made an intro video for the controller, which may prove instructive for those wishing to go down this road to build their own VTOL aircraft. The code for pendulum experiment is not available at the time of writing, perhaps it will hit the GitHub in the future?

Continue reading “Inverted Pendulum Balanced On A Drone”

VTOL Tailsitter Flies With Quadcopter Control Software

Quadcopters are great for maneuverability and slow, stable flight, but it comes at the cost of efficiency. [Peter Ryseck]’s Mini QBIT quadrotor biplane brings in some of the efficiency of fixed-wing flight, without all the complexity usually associated with VTOL aircraft.

The Mini QBIT is just a 3″ mini quadcopter with a pair of wings mounted below the motors, turning it into a “tailsitter” VTOL aircraft. The wings and nosecone attach to the 3D printed frame using magnets, which allows them to pop off in a crash. There is no need for control surfaces on the wings since all the required control is done by the motors. The QBIT is based on a research project [Peter] was involved in at the University of Maryland. The 2017 paper states that the test aircraft used 68% less power in forward flight than hovering.

(Editor’s Note: [Peter] contacted us directly, and he’s got a newer paper about the aircraft.)

Getting the flight controller to do smooth transitions from hover to forward flight can be quite tricky, but the QBIT does this using a normal quadcopter flight controller running Betaflight. The quadcopter hovers in self-leveling mode (angle mode) and switches to acro mode for forward flight. However, as the drone pitches over for forward flight, the roll axis becomes the yaw axis and the yaw axis becomes the reversed roll axis. To compensate for this, the controller set up to swap these two channels at the flip of a switch. For FPV flying, the QBIT uses two cameras for the two different modes, each with its own on-screen display (OSD). The flight controller is configured to use the same mode switch to change the camera feed and OSD.

[Peter] is selling the parts and STL files for V2 on his website, but you can download the V1 files for free. However, the control setup is really the defining feature of this project, and can be implemented by anyone on their own builds.

For another simple VTOL project, check out [Nicholas Rehm]’s F-35 which runs on his dRehmFlight flight control software. Continue reading “VTOL Tailsitter Flies With Quadcopter Control Software”