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Visual Perception for Self-Driving Cars(으)로 돌아가기

Visual Perception for Self-Driving Cars, 토론토 대학교

4.5
30개의 평가
4개의 리뷰

About this Course

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks. You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars. For the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface. You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset. This is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses)....
필터링 기준:

5개의 리뷰

대학: 刘宇轩

May 19, 2019

Though not dive into training neural net. But for me who have taken deep learning specialization, I fully respect this and find it amazing that this course introduces quite a lot of the application of deep learning output and provides programming exercises on them, which is great.

대학: Miguel

May 09, 2019

Excelent Course, extremely recommended.

대학: Camilo Andrés Alvis Bautista

May 04, 2019

It is an amazing course. Really good information and projects related with Visual Perception

대학: Hao Zhen

Apr 24, 2019

I do not understand why this course just have 4.3 ratting. Personally I think this course is very very helpful. It provides many practical advice and makes feel that I have got a up-to-date understanding of this fiels. There is no doubt that this is one of the best courses on Coursera.

대학: Levente Kovacs

Mar 25, 2019

Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.