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Software development sensor data fusion LiDAR and camera
Client
Location
Feb. 2018 - Sep. 2018
Date
Goslar, Germany
ISSE / Car Manufacturer
Technologies
Python, C++, ROS 1, OpenCV, Velodyne Lidar, Pcap, Wireshark, Linux
Project Description
I used ROS as a framework and covered with it the entire processing pipeline from data input to fused data visualization. I implemented the calibration and undistortion of the camera data in Python and utilized the OpenCV library. The lidar data was available in pcap format. For processing the lidar data, I used the ROS Velodyne Package, written in C ++, and adapted it to match our requirements. After processing, I time-synchronized the data streams and projected the lidar’s 3D point cloud onto the camera’s 2D image.
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