[Martin] has a Lotus Elise and access to a track. Sounds like fun, huh? The only problem is that the dashcam videos he makes are a little bit boring. Sure, they show him flying around the track, but without some sort of data it’s really hard to improve his driving skills. After thinking about it for a while, [Martin] decided he could use his Raspberry Pi and camera module to record videos from the dashboard of his car, and overlay engine data such as RPM, throttle, and speed right on top of the video.
Capturing video is the easy part of this build – [Martin] just connected his Raspi camera module and used the standard raspivid capture utility. Overlaying data on this captured video was a bit harder, though.
[Martin] had previously written about using the Raspi to read OBD-II data into his Raspi. Combine this with a Python script to write subtitles for his movies, and he’s off to the races, with a video and data replay of every move on the track.
The resulting movie and subtitle files can be reencoded to an HD movie. Reencoding a 13 minute HD video took 9 hours on the Raspi. We’d suggest doing this with a more powerful compy, but at least [Martin] has a great solution to fix his slightly uninformative track videos.
Most of the quadcopter projects that we’ve seen use a joystick-based control system. This lets you fly the thing around like any RC vehicle. But [Saulius] is augmenting his control system by pulling and displaying telemetry data. It doesn’t really change the way the vehicle is controller, but it lets the craft roam much further away because the operator can watch the computer screen and forego the need for the quadcopter to be within sight.
A Carambola board (also used in this weather station project) is used to provide connectivity. This is WiFi based, which helps us understand the range it can travel. The quadcopter carries a camera, which is shown in the lower right box of the image above. There is also an artificial horizon, and feedback dials which display the telemetry data.
It looks like there’s a satellite view in between those two dashboard widgets. We don’t see anything coming up right now, but it’s possible this is meant to overlay a virtual marker for the aircraft’s position based on GPS data. That last part is really just conjecture though. Catch the 80-second test flight after the jump.
Continue reading “Fancy telemetry control display for a quadcopter”
Most people we know had at least one phase where they dreamt of working for NASA. That dream may have faded for many of us, but it could suddenly be a real possibility again with a tournament NASA is holding. The goal is to sift through all of the data that they have collected; roughly 100 terabytes of pictures, telemetry data,
top secret pictures of martian yeti, and models. All of this information was gathered over different missions, on different instruments, in different formats. It is a mess. Take this data and make it easily accessible to both scientists, and non-scientists. They want their information to be useful and compelling to the world.
The grand prize for your fantastic final result is $10,000 and the title of “Space Coder of the Galaxy 2012″. I know I’d settle for a week at space camp.
Note: I just noticed the following bit:
And one talented high school winner will receive a special VIP invitation from NASA
I’m not sure if that means this is for high schoolers only, but I’m pretty sure it means a lot of them won’t identify with that space camp link above.
Along with hobby electronics, flying RC planes is one of [Diederich’s] favorite hobbies. When out in the field, he prefers to use an Aurora 9 radio controller, and while the remote is great, he was a bit disappointed in Hitec’s telemetry sensor lineup. He says that the sensors are pretty decent, though limited, and he was positive he could build a better telemetry solution.
His sensor board is completely open source, and comes with a long list of features. First and foremost, it emulates all of the messages that can be sent to the radio controller by Hitec’s off the shelf models, making it a simple drop-in replacement. He uses an ATMega8L microcontroller to run the show, including all sorts of input pins and connectors to support GPS as well as voltage and current monitoring.
He has made a DIY kit available for purchase online, but all of the sensor’s schematics and a BOM are available for free, should you desire to roll your own.
We love seeing DIYers show up manufacturers in this way, especially when they share the goods with their fellow hobbyists. Nice job!
[Ken] sent us his Instructable in which he used radio telemetry to monitor the status of his air-powered model rocket through a series of launches. His setup is centered around an Arduino IDE-compatible board that looks to be about the size of a Boarduino, but has the benefit of an embedded 915 MHz radio module. The vendor he used also sells a good handful of add-on modules which he used for his in-flight recording, including a barometric pressure monitor and a 3-axis accelerometer. During flight, the rocket constantly sends data to a base station, provided it stays within radio operating range.
For is initial tests, [Ken] launched his rocket four times, getting usable data on half of them. He found out some interesting things about his model rocket, including the fact that it creates a maximum launch force of 60 Gs. He has plans to revise his setup in the future, such as lightening the battery load as well as adding a high-G analog sensor for recording the forces at take off. This kit, or a more reasonably priced clone, would make for a great addition to any rocket buff’s inventory.
Controlling a robot simply by looking at your desired location is pretty freaking awesome. A web camera pointed at your face, analyzes your movements and pupil direction to send the bot signals. Look at a location and the bot goes, change your expression to send other commands to the bot. This easily surpasses the laser guided assistance droid for ease of use.
If you can get through the cell phone text speak, you’ll probably enjoy this cool tutorial on how to build a cell phone controlled robot. This bot decodes the key tones, similar to the automated phone systems we’ve all experienced. It uses a chip called a MT8870 DTMF decoder to translate the signal for the Atmega 16 controller. The circuit diagram is pretty hard to read, maybe we missed a downloadable one somewhere. The source code is available.
It would be nice to get some feedback from the robot, so you aren’t driving it completely blind. This is similar to the Lego cell phone rover that we showed you before. Next, he should make it recognize voice commands.