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ویرایش: 2024
نویسندگان: Sidi Lu. Weisong Shi
سری:
ISBN (شابک) : 3031599624, 9783031599620
ناشر: Springer
سال نشر: 2024
تعداد صفحات: 0
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 18 مگابایت
در صورت تبدیل فایل کتاب Vehicle Computing: From Traditional Transportation to Computing on Wheels به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب محاسبات خودرو: از حمل و نقل سنتی تا محاسبات روی چرخ نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Contents Introduction to Vehicle Computing Traditional Automotive: Change Is Happening Now Definition of Vehicle Computing Illustrative Examples of Vehicle Computing Infrastructure Health Management In-Vehicle Meeting In-Vehicle Delivery In-Vehicle Augmented Reality In-Vehicle Entertainment Vehicles as Mobile Computation Platforms Vehicles as Mobile Communication Platforms Evolution of Mobile Communication: LTE/4G/5G/6G Dedicated Short-Range Communication Cellular Vehicle-to-Everything Vehicles as Mobile Sensing and Data Storage Platforms Mobile Sensing Mobile Storage Vehicles as Mobile Energy Management Platforms Energy Consumption Energy Storage Vehicle-to-Grid (V2G) Integration Novel Business Model in Vehicle Computing A New Ecosystem for Vehicle Computing Illustrative Example: Electric Vehicles and Slow Charging Technical Challenges and Opportunities Challenges in Vehicular Computation Challenges in Vehicular Communication Challenges in Optimizing Energy Use and V2G Integration Challenges in Sensor Data Integration and Calibration Challenges in Advancing Data Storage Solutions Exploiting Opportunities in Vehicle Computing Summary References Mobile Computation in Connected Vehicles Vehicle Software and Applications The Evolution of Automotive Software and Computing Systems Automotive Software Automotive Computing Systems Mainstream Vehicle Intelligent Applications Object Detection Lane Detection Localization and Mapping Prediction and Planning Vehicle Control Collision Avoidance Scene Adaptation Software-Defined Vehicles and Application Requirements Software-Defined Vehicles: A Forthcoming Evolution The Essence of SDVs The Significance of SDVs Solutions to Realize SDVs Application Landscape Application Requirements Reference Architecture of Vehicle Computing Systems Modular-Based Design End-to-End-Based Design Computation Hardware Real-Time Operating Systems Middleware Systems ROS Core Components in ROS ROS1 and ROS2 Autoware Foundation Challenges and Discussions Implementing Artificial Intelligence Standardization of Safety Issues Infeasibility of Scalable Training Infeasibility of Complete Testing Vehicle Operating System Challenges and Advances Hardware Cost Experiment Platforms Summary References Vehicular Communication and Networking Technologies Mainstream Vehicular Communication Mechanisms Evolution from LTE to 6G DSRC: Dedicated Short-Range Communications C-V2X: Cellular Vehicle-to-Everything The Emergence of C-V2X in Vehicle Computing Reliability of C-V2X Bandwidth of C-V2X Scalability of C-V2X The Evolutionary Trajectory of C-V2X Development of C-V2X Test Environments Communication Architectures Centralized Architecture Decentralized Architecture Publish/Subscribe Architecture Broadcast Architecture Architecture Comparisons and Discussions Advantages and Challenges of Centralized Architecture Advantages and Challenges of Decentralized Architecture Advantages and Challenges of Publish/Subscribe Architecture Advantages and Challenges of Broadcast Architecture EdgeArC: Edge-Based Architecture for Vehicle Computing Vehicle-to-Everything in Vehicle Computing Infrastructure-to-Vehicle (I2V) Vehicle-to-Infrastructure (V2I) V2V Communication Security in Vehicle Computing Case Studies and Their Implementations C-V2X Enabled Collaborative Lane Keeping Framework Overview Framework Implementation SafeCross: To Turn or Not to Turn at Intersections Framework Overview Framework Implementation Challenges and Discussions Cyberattack Protection Leveraging Smart Infrastructure for Enhanced Vehicle Operations Navigating Interactions with Human Drivers Summary References Sensing and Data Acquisition Techniques Automotive Sensors Cameras Radar LiDAR Ultrasonic Sensor GPS/GNSS/IMU Data Source Data Characteristics Dataset and Benchmark Data Labeling Failure Detection and Diagnostics Understanding Sensor Failure Addressing Sensor Reliability Data Accuracy in Sensor Output Algorithmic Reliability in Adverse Conditions Data Storage in Vehicles The Surge of Data in Modern Vehicles Data Compression Vehicle Data Logging Systems Computational Vehicle Storage Systems Vehicle Data Access Control Data Access Patterns in Vehicles Real-Time Data Access Patterns Historical Data Access Patterns Data Access Control Vehicle Systems and Platforms Access Control for Vehicles Access Control Models Challenges and Discussions Multi-Sensor Data Synchronization Deal with Normal-Abnormal Vehicle Data Adverse Weather Emergency Maneuvers Work Zones Automotive Storage Systems Synchronization Privacy Security Data Movement Reliability and Redundancy in Data Sharing Securing Vehicle Sensing Data Summary References Energy Management, Efficiency, and Delivery Electric Vehicles (EVs) Possible Battery Faults EV Battery Failure Prediction Voltage-Based Prediction in Battery Systems Temperature-Based Prediction in Battery Systems State of Charge (SOC)-Based Estimation in Battery Systems Limitations of Current Failure Prediction Heavy-Duty Trucks Fuel Rate Modeling Significance of Fuel Rate Modeling Evolving Approaches Limitations of Current Models Fuel Rate Prediction Linear and Polynomial Regression Analysis Deep Learning Models AutoML-Based Regression Energy Consumption in Vehicle Computing Systems Energy-Efficient Designs and Strategies Energy-Efficient Accelerator Architectures GPU Acceleration DianNao Accelerators Google\'s Tensor Processing Units Neuromorphic Processor Architecture Hardware-Based Full-Stack Optimization FPGA Acceleration Energy-Efficient Inference Engine Co-Design Framework for Deep Neural Networks Vehicle-to-Grid (V2G) Technologies Power Flow of V2G Unidirectional V2G Bidirectional V2G V2G Use Cases and Benefits Deliver Active Power Support to Grid Power Compensation V2G Optimization Optimization Methods Optimization Objectives Challenges and Discussions Hardware Optimization Versus Energy Consumption V2G Challenges Battery Lifespan Reduction due to V2G Implementation Costs Summary References Programming Interfaces for Vehicle Computing Automotive Software Platforms AUTOSAR SOAFEE Baidu Apollo Autoware NVIDIA DRIVE BlackBerry IVY Robot Operating System (ROS) Vehicle Programming Interface (VPI) Design Philosophy Overview of Vehicle Programming Interfaces (VPIs) Hardware VPIs Data VPIs Computation VPIs Service VPIs Management VPIs Case Study: VPI Implementation Hardware: Zebra Software: OpenVDAP Case Study: Remote Control and Latency Evaluation Challenges and Discussions Summary References Untitled Untitled Teleoperation in Vehicle Computing The Evolution of Connected Vehicles The Role of Human Oversight The Distant Horizon of Level 5 Autonomy Teleoperation: A Historical Perspective and Automotive Application Teleoperation\'s Role in Connected Mobility The Multifaceted Nature of Teleoperation The Pivotal Role of Teleoperation in Vehicles Challenges of Full Autonomy Overcoming Environmental Perception and Recognition Hurdles Long Downtime Due to Unfamiliar Environment Interpretation Unpredictable Sensor Failures and Erroneous Data Teleoperation Regulations and Policies Teleoperation Regulations Regulations in the United States Global Regulatory Perspectives Case Study: Teleoperation Legislation in Germany Developing Standards for Teleoperation Technical Considerations and Innovations in Teleoperation Critical Technical Considerations Advancements in Teleoperation Techniques Enhancing Operator Perception Developing an Immersive Virtual Driving Interface Advancing Control Systems for Enhanced Teleoperation Strategies for Mitigating Latency in Teleoperation Evaluation Standards for Teleoperation Performance Leading Automotive Participants in Teleoperation Automotive Companies and Start-Ups Teleoperation Service Providers Case Studies and Applications of Teleoperation Challenges and Discussions Key Challenges in Teleoperation Bandwidth Limitations Challenges of Latency in Teleoperation Additional Challenges in Teleoperation Future Perspectives in Teleoperation Summary References Testing for Vehicle Computing Benchmark Suites for Vehicles Architecture and System for Vehicles Automotive Benchmark Suites Case Study: CAVBench Metrics for Vehicle Computing Systems Accuracy Timeliness Power Cost Reliability Privacy Security Simulation for Vehicle Computing Comparisons of Diverse Simulators Traffic Simulators Vehicle-Level Simulators Multi-Resolution Simulators Digital Twin Case Study: BlueICE and D-STAR BlueICE: An Advanced Simulator D-STAR: A Testing Scenario of BlueICE Testbeds for Vehicle Computing Outdoor Testbeds Indoor Testbeds Single-Vehicle and Multi-Vehicle Testing Case Study: ICAT ICAT\'s Distinctive Advantages ICAT Testing Challenges and Discussions Experimental Platforms Physical World Coupling Summary References Index