آموزش ادراک بصری برای خودروهای خودران - آخرین آپدیت

Welcome to Course 3: Visual Perception for Self Driving Cars Welcome to Course 3: Visual Perception for Self-Driving Cars

• Welcome to the Self Driving Cars Specialization! Welcome to the Self-Driving Cars Specialization!

• Welcome to the course Welcome to the course

• Meet the Instructor, Steven Waslander Meet the Instructor, Steven Waslander

• Meet the Instructor, Jonathan Kelly Meet the Instructor, Jonathan Kelly

Module 1: Basics of 3D Computer Vision Module 1: Basics of 3D Computer Vision

• Lesson 1 Part 1: The Camera Sensor Lesson 1 Part 1: The Camera Sensor

• Lesson 1 Part 2: Camera Projective Geometry Lesson 1 Part 2: Camera Projective Geometry

• Lesson 2: Camera Calibration Lesson 2: Camera Calibration

• Lesson 3 Part 1: Visual Depth Perception Stereopsis Lesson 3 Part 1: Visual Depth Perception - Stereopsis

• Lesson 3 Part 2: Visual Depth Perception Computing the Disparity Lesson 3 Part 2: Visual Depth Perception - Computing the Disparity

• Lesson 4: Image Filtering Lesson 4: Image Filtering

Module 2: Visual Features Detection, Description and Matching Module 2: Visual Features - Detection, Description and Matching

• Lesson 1: Introduction to Image features and Feature Detectors Lesson 1: Introduction to Image features and Feature Detectors

• Lesson 2: Feature Descriptors Lesson 2: Feature Descriptors

• Lesson 3 Part 1: Feature Matching Lesson 3 Part 1: Feature Matching

• Lesson 3 Part 2: Feature Matching: Handling Ambiguity in Matching Lesson 3 Part 2: Feature Matching: Handling Ambiguity in Matching

• Lesson 4: Outlier Rejection Lesson 4: Outlier Rejection

• Lesson 5: Visual Odometry Lesson 5: Visual Odometry

Module 3: Feedforward Neural Networks Module 3: Feedforward Neural Networks

• Lesson 1: Feed Forward Neural Networks Lesson 1: Feed Forward Neural Networks

• Lesson 2: Output Layers and Loss Functions Lesson 2: Output Layers and Loss Functions

• Lesson 3: Neural Network Training with Gradient Descent Lesson 3: Neural Network Training with Gradient Descent

• Lesson 4: Data Splits and Neural Network Performance Evaluation Lesson 4: Data Splits and Neural Network Performance Evaluation

• Lesson 5: Neural Network Regularization Lesson 5: Neural Network Regularization

• Lesson 6: Convolutional Neural Networks Lesson 6: Convolutional Neural Networks

Module 4: 2D Object Detection Module 4: 2D Object Detection

• Lesson 1: The Object Detection Problem Lesson 1: The Object Detection Problem

• Lesson 2: 2D Object detection with Convolutional Neural Networks Lesson 2: 2D Object detection with Convolutional Neural Networks

• Lesson 3: Training vs. Inference Lesson 3: Training vs. Inference

• Lesson 4: Using 2D Object Detectors for Self Driving Cars Lesson 4: Using 2D Object Detectors for Self-Driving Cars

Module 5: Semantic Segmentation Module 5: Semantic Segmentation

• Lesson 1: The Semantic Segmentation Problem Lesson 1: The Semantic Segmentation Problem

• Lesson 2: ConvNets for Semantic Segmentation Lesson 2: ConvNets for Semantic Segmentation

• Lesson 3: Semantic Segmentation for Road Scene Understanding Lesson 3: Semantic Segmentation for Road Scene Understanding

Module 6: Putting it together Perception of dynamic objects in the drivable region Module 6: Putting it together - Perception of dynamic objects in the drivable region

• Project Overview: Using CARLA for object detection and segmentation Project Overview: Using CARLA for object detection and segmentation

• Final Project Hints Final Project Hints

• Final Project Solution [LOCKED] Final Project Solution [LOCKED]

• Congratulations for completing the course! Congratulations for completing the course!