업계 종사자를 위해 설계된 강좌입니다.
자율 주행 자동차 특화 과정
Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.
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배울 내용
Understand the detailed architecture and components of a self-driving car software stack
Implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control
Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes
Demonstrate skills in CARLA and build programs with Python
이 전문 분야 정보
응용 학습 프로젝트
You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.
업계 종사자를 위해 설계된 강좌입니다.
이 전문 분야에는 4개의 강좌가 있습니다.
Introduction to Self-Driving Cars
Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization.
State Estimation and Localization for Self-Driving Cars
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course.
Visual Perception for Self-Driving Cars
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.
Motion Planning for Self-Driving Cars
Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.
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토론토 대학교
Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe.
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전문 분야를 완료하면 대학 학점을 받을 수 있나요?
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