Simulated in CARLA v0.9.10 Environment.
CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites, environmental conditions, full control of all static and dynamic actors, maps generation and much more.
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies - 2020
- Self-Driving Cars: A Survey - 2019
- End-to-end Learning of Driving Models from Large-scale Video Datasets - 2017
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Self-Driving Cars Specialization - This Specialization gives a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. The Specialization includes 3 courses: 1- Introduction to Self-Driving Cars, 2- State Estimation and Localization for Self-Driving Cars, 3- Visual Perception for Self-Driving Cars, 4- Motion Planning for Self-Driving Cars
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Computer Vision Nanodegree - This program is designed to enhance one’s existing machine learning and deep learning skills with the addition of computer vision theory and programming techniques. These computer vision skills can be applied to various applications such as image and video processing and autonomous vehicle navigation. The Nanodegree includes 3 courses, The second course; Advanced Computer Vision & Deep Learning gives a comprehensive understanding of Advanced CNN Architectures such as Region-based CNNs, Single Shot Detector , and YOLO for object detection.