Autonomous Car Map-Building and Localisation
presentationposted on 29.03.2018 by Roby Santoro
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State-of-the-art autonomous vehicles build a detailed 3D map of the environment in order to localise themselves and track other objects. By using TensorFlow’s object detection API in combination with a stereo camera, a variety of objects including traffic signs, cars and pedestrians can be detected in 2D images and placed within the 3D environment. This presentation will demonstrate the flexibility of TensorFlow’s object detection API, and how it may be easily implemented into almost any robotics project by using the ROS framework.