ISBN:
9781681739366
Language:
English
Pages:
1 online resource (244 pages)
Edition:
2nd ed.
Series Statement:
Synthesis Lectures on Computer Science Ser.
Parallel Title:
Erscheint auch als
DDC:
629.23
Keywords:
Electronic books
;
Automated vehicles-Design and construction
Abstract:
Intro -- Preface to the Second Edition -- Teaching and Learning from This Book -- Introduction to Autonomous Driving -- 1.1 Autonomous Driving Technologies Overview -- 1.2 Autonomous Driving Algorithms -- 1.2.1 Sensing -- 1.2.2 Perception -- 1.2.3 Object Recognition and Tracking -- 1.2.4 Action -- 1.3 Autonomous Driving Client System -- 1.3.1 Robot Operating System (ROS) -- 1.3.2 Hardware Platform -- 1.4 Autonomous Driving Cloud Platform -- 1.4.1 Simulation -- 1.4.2 HD Map Production -- 1.4.3 Deep Learning Model Training -- 1.5 It Is Just the Beginning -- Autonomous Vehicle Localization -- 2.1 Localization with GNSS -- 2.1.1 GNSS Overview -- 2.1.2 GNSS Error Analysis -- 2.1.3 Satellite-Based Augmentation Systems -- 2.1.4 Real-Time Kinematic and Differential GPS -- 2.1.5 Precise Point Positioning -- 2.1.6 GNSS INS Integration -- 2.2 Localization with LiDAR and High-Definition Maps -- 2.2.1 LiDAR Overview -- 2.2.2 High-Definition Maps Overview -- 2.2.3 Localization with LiDAR and HD Map -- 2.3 Visual Odometry -- 2.3.1 Stereo Visual Odometry -- 2.3.2 Monocular Visual Odometry -- 2.3.3 Visual Inertial Odometry -- 2.4 Dead Reckoning and Wheel Odometry -- 2.4.1 Wheel Encoders -- 2.4.2 Wheel Odometry Errors -- 2.4.3 Reduction of Wheel Odometry Errors -- 2.5 Sensor Fusion -- 2.5.1 CMU Boss for Urban Challenge -- 2.5.2 Stanford Junior for Urban Challenge -- 2.5.3 Bertha from Mercedes Benz -- 2.6 References -- Perception in Autonomous Driving -- 3.1 Introduction -- 3.2 Datasets -- 3.3 Detection -- 3.4 Segmentation -- 3.5 Stereo, Optical Flow, and Scene Flow -- 3.5.1 Stereo and Depth -- 3.5.2 Optical Flow -- 3.5.3 Scene Flow -- 3.6 Tracking -- 3.7 Conclusion -- 3.8 References -- Deep Learning in Autonomous Driving Perception -- 4.1 Convolutional Neural Networks -- 4.2 Detection -- 4.3 Semantic Segmentation -- 4.4 Stereo and Optical Flow -- 4.4.1 Stereo.
Note:
Description based on publisher supplied metadata and other sources
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