This project provides the software for the YDLidarCar project. This software requires ev3dev OS on the Lego Mindstorms EV3. The project contains a modified version of the YDLidar SDK.
The original SDK uses a thread to poll and buffer incoming data from the YDLidar's virtual serial port. This is unnecessary (at least under Linux) as the OS buffers more than enough data for us. Therefor, this thread was removed to improve performance. Unfortunately, the EV3 brick is too slow to process all incoming data from the Lidar (at least without further optimization). To avoid increasingly delayed data processing, the driver was modified discard old buffer content before fresh data is collected.
These modifications enable the use of an YDLidar X4 with ev3dev, even without the use of a BrickPi.
The application was cross compiled using the ev3dev cross-compiler Docker image.
If ev3dev-lang-cpp is not installed within the docker image, it must be checked out and compiled within the cross compiler environment as follows:
$ cd YDLidarCar/crossbuild-docker
$ git clone https://github.com/ddemidov/ev3dev-lang-cpp.git
Enter cross compiler environment
$ sudo docker run --rm -it -v <ABSOLUTE PATH TO ../..>:/ev3dev -w /ev3dev ev3cc
$ cd YDLidarCar/crossbuild-docker/ev3dev-lang-cpp
$ mkdir build
$ cmake -D CMAKE_CXX_COMPILER=/usr/bin/arm-linux-gnueabi-g++-4.9 -D CMAKE_C_COMPILER=/usr/bin/arm-linux-gnueabi-gcc ../
$ make
$ cd ../..
Now, we can compile YDLidarCar simply by calling make within YDLidarCar/crossbuild-docker:
$ make
As result, the executable YDLidarCar will be in the make folder.
Simple API to use the Lidar. Note that the method std::vector<std::tuple<float, float>> Lidar::scan() replaces the SDK method CYdLidar::doProcessSimple(outscan, hardwareError).
The code contains settings specific for the YDLidar X4. Baud rate and/or the conversion of distance_q2 can be modified to make the code work with other models.
Initializes and controls the steering, motor and reads the bumper of the car designed for this project.
The car is designed using the Lego Digital Designer and the model is included in this project. It requires the Lego Mindstorms EV3 set 31313 and a gear differential part 6573.
A demonstration how to use the classes mentioned above.
