Week 3 - Safety Assurance for Autonomous Vehicles Course info. https://www.coursera.org/learn/intro-self-driving-cars? UNIVERSITY OF TORONTO Lesson 1 : Safety Assurance for Self-Driving Vehicles Contents Autonomous driving crashes Formal definitions Major haard sources Safety requirements Exmaples of Automated Vehicle Crashes Google Waymo (Rear bus) Uber GM Cruise Uber 2018 Uber Crash: Multiple ..

Week 2 - Self-Driving Hardware and Software Architectures Course info. https://www.coursera.org/learn/intro-self-driving-cars? UNIVERSITY OF TORONTO Lesson 4 : Environment Representation Contents Environmental Map Types Environmental Map Types Localization of the vehicle in the environment Localization point cloud or feature map to accurately estimate the precise position of vehicle at all time ..

Week 2 - Self-Driving Hardware and Software Architectures Course info. https://www.coursera.org/learn/intro-self-driving-cars? UNIVERSITY OF TORONTO Lesson 3 : Software Architecture Contents Describe the basic architecture of a typical self-driving software system Identify the standard software decomposition Environment Perception Environment Mapping Motion Planning Controller System Supervisor ..

Week 2 - Self-Driving Hardware and Software Architectures Course info. https://www.coursera.org/learn/intro-self-driving-cars? UNIVERSITY OF TORONTO Lesson 2 : Hardware Configuration Design Contents Sensor coverage requirements for differenct scenarios Highway driving Urban driving Overall coverage, blind spots Sensors Camera for appearance input Stereo camera for depth information Lidar for all..

Week 2 - Self-Driving Hardware and Software Architectures Course info. https://www.coursera.org/learn/intro-self-driving-cars? UNIVERSITY OF TORONTO Lesson 1 : Sensors and Computing Hardware Contents Sensor types and characteristics Self-driving computing hardware Sensors Sensor: device that measures or detects a property of the environment, or changes to a property Categorization Exteroceptive ..