Autonomous Vehicles 101
summary
Covers a practical, step-by-step workflow for building an autonomous vehicle: defining the vehicle’s purpose (which drives vehicle type, speed, capacity, and traffic environment), choosing perception sensors and real-time data-processing software and compute platforms, selecting control approaches (by-wire or retrofitted actuators), and designing decision-making intelligence using a modular algorithm architecture for steering, acceleration, and braking.
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chapters (6)
- 0:00Start
- 0:41Fundamentals of Creating an Autonomous Vehicle Important considerations based on real world examples
- 22:37Perception/Positioning/Compute/Storage Kits Sensing
- 26:12Step 2: Positioning Kits
- 27:51Step 2: Data-Storage Kits
- 29:49Data Fusion Middleware
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