Those little window sucker things for GPSes and cables dangling everywhere get on my tits. Since getting the van, I’ve been intending a dash integration of sorts, whether completely containing a GPS unit, or building a CarPC with my Raspberry Pi, it was put on hold until I had some time. With the race season over and Uni finished, now was the time.
I opted for a neat GPS dock rather than trying to integrate the thing fully. That way, the GPS can be removed for other vehicles and updates. I’ll let the photos do the rest of the talking.
Make the prototype permanent by building a perfboard arduino.
I wanted to keep the standard 5050 controller for general van lighting, controllable by the IR remote. I did this by using another transistor as a switch for the 12v line into the controller. One of the routines in the code then pushes the gate high to turn the controller on.
Having seen the Bar Fly I became set on a ‘SRM style’ mounting for my Garmin. I wasn’t set to pay £40 for one however.
Doing my research, it turned out the Bar Fly was inspired by a thread on a bike forum (a Triathlon forum none the less), where many had come up with a number of different mounting methods. I decided I could come up with my own variation using a £2 piece of acrylic from eBay and a dremel.
My first attempt is fairly crude compared to some fine examples of home design and build but it does the job for an hour’s work. If I can get my hands on a 3d printer I have some other designs in mind…
I always intended on creating my own driver for the LED lights in my van but with the thieving skum pointlessly taking the remote for the included unit, I was spurred into action. Having installed a sound system, a musical light system was a given, to enable the van to live up to the Bang Bus name it has acquired (of certain definition!). Continue reading Musical Rainbows in the Van
A new venture for the University of Bath and a collaboration with Mechanical and Electrical Engineering, the autonomous quad project aims to convert an ’off the shelf’ miniature quad bike to a driverless one. Generation of a least cost path to a pre-defined goal is required, which avoids known obstacles and will update for new obstacles detected during driving. The A* search algorithm is chosen and a comprehensive planner developed within MATLAB. Continue reading FYP: MATLAB A* Based Path Planner for Autonomous Off-Road Vehicle