The popularity of self-driving cars has been rising at an exponential rate over the past decade. Based upon what you have learned, which of the following computer vision technique(s) is useful for self-driving cars? Select all relevant answers1 pointObject DetectionMotion TransferImage ClassificationAll of the above

Self-driving and self-parking cars rely on Deep Learning for visual tasks like understanding road signs, detecting lanes, and recognizing obstacles. Which field of AI is applied in order for cars to self-drive or self-park? Robotics Virtual Reality Computer VisionSentiment Analysis

Question 31 PointLook at the figure below and consider the following scenario. A self-driving car operates in a complex task environment because the potential obstacles are countless (see figure below depicting self-driving cars and potential obstacles). An environment with humans walking across the roads can be very unpredictable.Figure description: Self-driving cars navigate an intersection. A human is walking across the road, and the self-driving car must analyse its surroundings using what's called “computer vision” or sophisticated image recognition.True or false? Deep learning helps the vehicle understand the environment around it.TrueFalseQuestion 41 PointLook at the figure below and consider the following scenario. Think about how dog owners train a dog to take actions based on rewards. For example, if the dog gets a treat every time he sits on command, he will take this action each time. In this case, behaviour can be learnt through trial and error. The correct behaviours are reinforced. Which type of machine learning is this? Type in your answer: Blank 1Figure: Human training a dog to sit and lift their pawFigure description: A human is teaching a dog how to sit and lift their paw. The dog is sitting on the ground, and the owner (a human) is standing and teaching the dog how to behave through patterns of reinforcement.  Blank 1Question 51 PointDeep learning refers to learning that takes place deep underground. True or false?TrueFalseQuestion 61 PointNeural networks are inspired by the structures of the human brain. True or false?TrueFalseQuestion 71 PointA neural network has many neurons working together to process multiple inputs of data. True or false?TrueFalseQuestion 81 PointReinforcement learning assumes that all behaviour can be learnt via reinforcement. True or false?TrueFalse

Which of these is NOT a current application of AI?1 pointSelf-Driving vehicles utilizing Computer Vision to navigate around objectsClassifying rock samples to identify best places to drill for oilCollaborative Robots helping humans lift heavy containersMaking precise patient diagnosis and prescribing independent treatment

Computer Vision

When we are dealing with object detection, there are many different classifiers that we can use. Which of the following classifiers is trained on a large number of images that include the object we are trying to detect as well as images that do not contain the object we are trying to detect?1 pointCascade ClassifiersSliding window ClassifiersViola ClassifiersIntegral classifiers