Transcription of NANODEGREE PROGRAM SYLLABUS Self-Driving Car Engineer
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NANODEGREE PROGRAM SYLLABUS Self-Driving Car Engineer
Self-Driving Car EngineerNANODEGREE PROGRAM SYLLABUSSelf-Driving Car Engineer | 2 OverviewThis PROGRAM will cover the techniques that power Self-Driving cars across the full stack of a vehicle s autonomous capabilities. To begin, you ll learn how to apply computer vision and deep learning toward perception problems like lane finding and classifying traffic signs, as well as a full end-to-end algorithm for driving with behavioral cloning. You will also learn how to track objects from radar and lidar data with sensor fusion. From there, you ll learn and implement the concepts behind localization , path planning and control, making sure your vehicle knows where it is in the environment and how to navigate through : Python, C++, Linear Algebra and CalculusFlexible Learning: Self-paced, so you can learn on the schedule that works best for youEstimated Time: 5 Months at 10 hrs/weekIN COLLABORATION WITHT echni
containing images of urban environments with annotated cyclists, pedestrians and vehicles. First, they will perform an ... you will learn all about robotic localization, from one-dimensional motion models up to ... • Navigate the vehicle through an urban driving scenario in simulation following the rules of the road, in a
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