Embark on a journey into the autonomous driving industry with the Self-Driving Cars Specialization offered by the University of Toronto. This comprehensive program equips you with the essential knowledge and skills to thrive in the rapidly growing field of self-driving cars.
Throughout the specialization, you will hear from industry experts providing insights into autonomous technology and the job opportunities within the field. The program culminates in hands-on projects that allow you to interact with real data sets from an autonomous vehicle, offering practical experience using the open source simulator CARLA.
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Delve into self-driving car technology with modules covering hardware, software stacks, state estimation and localization, visual perception, and motion planning. Gain practical skills and industry insights.
Discover the hardware used for self-driving cars and explore the main components of the self-driving software stack. Program vehicle modeling and control while analyzing safety frameworks and industry practices for vehicle development.
Learn about key methods for parameter and state estimation used in autonomous driving, including GPS, IMUs, and LIDAR scan matching. Apply extended and unscented Kalman Filters to vehicle state estimation problems.
Work with the pinhole camera model and perform intrinsic and extrinsic camera calibration. Develop skills in image feature detection, convolutional neural networks, visual odometry, object detection and tracking, and semantic segmentation.
Explore mission planning, behavior planning, and local planning in autonomous driving. Learn to find the shortest path over a graph or road network, design optimal paths and velocity profiles, and build occupancy grid maps for collision checking.
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