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SensorFusionNanoDegree
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.RoboticsSoftwareEngineer
Begin your exploration into the world of robotics software engineering with a practical, system-focused approach to programming robots using the ROS framework and C++. In addition, learn and apply robotics software engineering algorithms such as localization, mapping, and navigation.LidarDetection
Implementation of euclidean clustering for lidar sensorsOpticalMirroredSafe
CplusplusProgramming
This repository consists how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization.Self-Driving-Car-Specialization
This repository provides the a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV) β all through hands-on projects using the open source simulator CARLA.UdacityCplusplusNanoDegree
C++ for Programmers is designed for students who are familiar with a programming language and wish to learn C++. This respository focuses on 'how' as opposed to 'what'.Love Open Source and this site? Check out how you can help us