Self-driving Cars and Technology PDF

Title Self-driving Cars and Technology
Author Hannah Barron
Course Intro New Media
Institution University of Georgia
Pages 2
File Size 53 KB
File Type PDF
Total Downloads 49
Total Views 149

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Monday, October 21, 2019

Smart Technology, Self-Driving Cars, and Robots Lecture — no reading, no quiz on this Friday (automatic 100) • 1998— car companies start with cruise control >> first mass market tool to use smart car/self-driving optimizations and techniques. Fundamental technologies made the way into the consumer market, and this was the first major exploration in self-driving and smart car technology.

• 2012 — smart cars; “modern history.”" • SAE (Society of Automotive Engineers) automation levels — " • Level 1: help the human with some driving tasks. Examples: anti-lock brakes (automated system for slamming on brakes in an emergency and will not allow brakes to lock in an emergency situation)."

• Level 2: monitoring; car helping with speed; humans doing most of the work." • Level 3: where most draw the line; what we actually call autonomous vehicles — they do some of the tasks control, and monitor the environment. When does the vehicle know when we want to take over the vehicle? Technical capabilities but we also need to understand user design experience >> what the human response will be. Example: Tesla. Issues with roadway traffic collisions. We have to be ready."

• Level 4: can do all the tasks and monitor/control but in very limited environments — like with Apple’s autonomous vehicles between campuses. Edge cases. Stateof-the art. Severe consequences >> prevent us from moving forward."

• Level 5: can do all tasks in all environments — has not been met. Optimum level." • Tesla has by far done the most in automotive car technology (auto tech) >> has competitors but started with the electric cars and everything. State-of-the art cars. Uses neuro-net. Important work. Elon Musk. Use of GPU power and machine learning algorithms/optimization."

• Uber: interested in building autonomous cars to get rid of drivers. Robotic technology (high-end); cost and miniaturization for sensors."

• Google (subsidiary of Alphabet): waymo, more tracking data than anyone else." • Mercedes: rear-seating devices, smart cars." 1

Monday, October 21, 2019

• Edge cases hard to solve. Surpassing timelines so far." • Ultimate subscriptions, and largest amount of jobs in these fields for smart car technology and services."

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