2019.10.31 Success to connect YDlidar X2 to Jetson TX2 using ROS Kinetic(Ubuntu 16.04)

Following the instructions of YDLIDAR.com( ROS.pdf and User Manual for X2) I succeeded to connect and test X2 on unbuntu 16.04 and Jetson TX2 environment. Next step is to install cartographer ros to catkin_ws and combine ros and cartographer to scan interior space. 2019.10.31 Success to connect YDlidar X2 to Jetson TX2 using ROS Kinetic(Ubuntu 16.04) 더보기

2019.10.30 How to install Ros Kinetic on Jetson TX2?

Since Ydlidar X2 is only available on Ubuntu 16.04 and Ros Kinetic version, I have to re install jetpack3.3 version to Jetson TX2. Jetson 3.3 uses ubuntu 16.04. I followed the instructions here1 and here2. Tips : Check the ip adress by typing ‘ifconfig’. Connect linux and jetson tx2 by micro usb cable and set tx2 as a release mode. I followed all the instructions above site, and finally suceeded to install Jetpack3.3 to Jetson Tx2. Then I followed this site to install ROS Kinetic to Jetson Tx2. Finally, I suceeded to install all environments for ROS Kinetic today. 2019.10.30 How to install Ros Kinetic on Jetson TX2? 더보기

2019.10.28 How to use YDlidar X2?

I want to use YDlidar for the autonomous driving horse robot. Since this is the first time I use lidar, I want to follow the tutorials of how to use ydlidar. Reference : http://www.ydlidar.com/download In this site, I can find the user manual for X2, and followed the instruction. The following video is the test of ydlidar operation. The machine operates well on the window environment, however, I have to run this on the ubuntu environment. 2019.10.28 How to use YDlidar X2? 더보기

2019.10.11 How to train YOLO with my own dataset? – 14 : Success to detect carrots in various distance, angle

Today, I tested with the model that I still am training with my all dataset including carrot pictures of various distances and angle. The loss of the train becomes around 0.45 to 0.5. Since the training dataset is large – 538 images and xml files, it took time to train the model. The model only could be trained around 50 epochs each day. However, the test to check the distance, angle variance for carrots succeeded as following video. Yolo could detect carrots independent of distance, and angle. 2019.10.11 How to train YOLO with my own dataset? – 14 : Success to detect carrots in various distance, angle 더보기

2019.10.10 How to make a horse robot? 1 – How to use drill bits to punch a hole inside the steel.

I assembled body parts of the horse robot. Using triangular mount, nuts, Today, I learned how to punch a hole using punching machine. First, I have to fix the steel to cut, and use drill bits to punch the hole. 2019.10.10 How to make a horse robot? 1 – How to use drill bits to punch a hole inside the steel. 더보기