|
|
|
|
LEADER |
00000cam a2200000Mi 4500 |
001 |
EBOOKCENTRAL_ocn975223405 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr |n|---||||| |
008 |
170311s2017 xx ob 001 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|e pn
|c EBLCP
|d DEBBG
|d OCLCQ
|d MERUC
|d OCLCQ
|d CUY
|d ZCU
|d ICG
|d OCLCF
|d DKC
|d OCLCO
|d OCLCQ
|d OCLCA
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|
020 |
|
|
|a 9781118868058
|
020 |
|
|
|a 1118868056
|
020 |
|
|
|z 9781118868072
|q (cloth)
|
029 |
1 |
|
|a AU@
|b 000064559491
|
035 |
|
|
|a (OCoLC)975223405
|
050 |
|
4 |
|a TL272.53.L67 2017
|
082 |
0 |
4 |
|a 621.3993
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Imiya, Atsushi.
|
245 |
1 |
0 |
|a Computer Vision in Vehicle Technology :
|b From Earth to Mars.
|
260 |
|
|
|a Somerset :
|b John Wiley & Sons, Incorporated,
|c 2017.
|
300 |
|
|
|a 1 online resource (218 pages)
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
588 |
0 |
|
|a Print version record.
|
505 |
0 |
|
|a Cover; Title Page; Copyright; Contents; List of Contributors; Preface; Abbreviations and Acronyms; Chapter 1 Computer Vision in Vehicles; 1.1 Adaptive Computer Vision for Vehicles; 1.1.1 Applications; 1.1.2 Traffic Safety and Comfort; 1.1.3 Strengths of (Computer) Vision; 1.1.4 Generic and Specific Tasks; 1.1.5 Multi-module Solutions; 1.1.6 Accuracy, Precision, and Robustness; 1.1.7 Comparative Performance Evaluation; 1.1.8 There Are Many Winners; 1.2 Notation and Basic Definitions; 1.2.1 Images and Videos; 1.2.2 Cameras; 1.2.3 Optimization; 1.3 Visual Tasks; 1.3.1 Distance; 1.3.2 Motion.
|
505 |
8 |
|
|a 1.3.3 Object Detection and Tracking1.3.4 Semantic Segmentation; 1.4 Concluding Remarks; Acknowledgments; Chapter 2 Autonomous Driving; 2.1 Introduction; 2.1.1 The Dream; 2.1.2 Applications; 2.1.3 Level of Automation; 2.1.4 Important Research Projects; 2.1.5 Outdoor Vision Challenges; 2.2 Autonomous Driving in Cities; 2.2.1 Localization; 2.2.2 Stereo Vision-Based Perception in 3D; 2.2.3 Object Recognition; 2.3 Challenges; 2.3.1 Increasing Robustness; 2.3.2 Scene Labeling; 2.3.3 Intention Recognition; 2.4 Summary; Acknowledgments; Chapter 3 Computer Vision for MAVs; 3.1 Introduction.
|
505 |
8 |
|
|a 3.2 System and Sensors3.3 Ego-Motion Estimation; 3.3.1 State Estimation Using Inertial and Vision Measurements; 3.3.2 MAV Pose from Monocular Vision; 3.3.3 MAV Pose from Stereo Vision; 3.3.4 MAV Pose from Optical Flow Measurements; 3.4 3D Mapping; 3.5 Autonomous Navigation; 3.6 Scene Interpretation; 3.7 Concluding Remarks; Chapter 4 Exploring the Seafloor with Underwater Robots; 4.1 Introduction; 4.2 Challenges of Underwater Imaging; 4.3 Online Computer Vision Techniques; 4.3.1 Dehazing; 4.3.2 Visual Odometry; 4.3.3 SLAM; 4.3.4 Laser Scanning; 4.4 Acoustic Imaging Techniques.
|
505 |
8 |
|
|a 4.4.1 Image Formation4.4.2 Online Techniques for Acoustic Processing; 4.5 Concluding Remarks; Acknowledgments; Chapter 5 Vision-Based Advanced Driver Assistance Systems; 5.1 Introduction; 5.2 Forward Assistance; 5.2.1 Adaptive Cruise Control (ACC) and Forward Collision Avoidance (FCA); 5.2.2 Traffic Sign Recognition (TSR); 5.2.3 Traffic Jam Assist (TJA); 5.2.4 Vulnerable Road User Protection; 5.2.5 Intelligent Headlamp Control; 5.2.6 Enhanced Night Vision (Dynamic Light Spot); 5.2.7 Intelligent Active Suspension; 5.3 Lateral Assistance.
|
505 |
8 |
|
|a 5.3.1 Lane Departure Warning (LDW) and Lane Keeping System (LKS)5.3.2 Lane Change Assistance (LCA); 5.3.3 Parking Assistance; 5.4 Inside Assistance; 5.4.1 Driver Monitoring and Drowsiness Detection; 5.5 Conclusions and Future Challenges; 5.5.1 Robustness; 5.5.2 Cost; Acknowledgments; Chapter 6 Application Challenges from a Bird's-Eye View; 6.1 Introduction to Micro Aerial Vehicles (MAVs); 6.1.1 Micro Aerial Vehicles (MAVs); 6.1.2 Rotorcraft MAVs; 6.2 GPS-Denied Navigation; 6.2.1 Autonomous Navigation with Range Sensors; 6.2.2 Autonomous Navigation with Vision Sensors.
|
500 |
|
|
|a 6.2.3 SFLY: Swarm of Micro Flying Robots.
|
504 |
|
|
|a Includes bibliographical references and index.
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Computer vision.
|
650 |
|
0 |
|a Automotive telematics.
|
650 |
|
0 |
|a Automated vehicles
|x Equipment and supplies.
|
650 |
|
0 |
|a Drone aircraft
|x Equipment and supplies.
|
650 |
|
0 |
|a Nautical instruments.
|
650 |
|
6 |
|a Vision par ordinateur.
|
650 |
|
6 |
|a Télématique automobile.
|
650 |
|
6 |
|a Instruments nautiques.
|
650 |
|
7 |
|a Automotive telematics
|2 fast
|
650 |
|
7 |
|a Computer vision
|2 fast
|
650 |
|
7 |
|a Nautical instruments
|2 fast
|
700 |
1 |
|
|a Pajdla, Tomas.
|
700 |
1 |
|
|a Alvarez, Jose M.
|
700 |
1 |
|
|a López, Antonio M.
|
758 |
|
|
|i has work:
|a Computer Vision in Vehicle Technology (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCXmcBmJQRWxggKxMGVFrD3
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Imiya, Atsushi.
|t Computer Vision in Vehicle Technology : From Earth to Mars.
|d Somerset : John Wiley & Sons, Incorporated, ©2017
|z 9781118868072
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4815066
|z Texto completo
|
938 |
|
|
|a EBL - Ebook Library
|b EBLB
|n EBL4815066
|
994 |
|
|
|a 92
|b IZTAP
|