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Intelligent Vehicles

This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso...

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Bibliographic Details
Main Author: Fernández-Llorca, David
Other Authors: Parra Alonso, Ignacio, García Daza, Iván, Parra, Noelia Hernández
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Driving Assistant
Monte Carlo
Driving Behavior
End-to-end Parking
Stationary And Moving Object Classification
Visual Slam
Lateral Force Empirical Model
Autonomous Mobile Robot
Virtual Test Environment
Vehicle Model
Multi-layer Perceptron
Unscented Kalman Filter
Vehicle Speed Prediction
Localization
Traffic Light Detection
Dynamic Driving Behavior
Siamese Network
Intelligent Vehicles
Multiple-target Path Planning
Tire Model
Tracking-by-detection
Fault Detection
Driver Behavior Modelling
Fuzzy Logic System
Fall-back Strategy
Driver Characteristics Online Learning
Connected Vehicles
Electric Vehicles
Scene Segmentation
Driver Monitor
Reinforcement Learning
Normalization
Risk Assessment
Risk Perception
Sensor Fusion
Particle Filter
Classification Networks
Road Detection
Real-time Systems
Path Planning
Electric Vehicle Control
Illumination
Parking Slot Tracking
Loop Closure Detection
Autonomous Vehicles
Collision Warning
Driving Diagnosis
Lidar Odometry
Game Theory
Corner Detection And Filtering
Model Predictive Controller
Global Positioning System (gps)
Minimum Safe Deceleration
Automated Driving System (ads)
Off-road Driving
Sensing
Millimeter Wave Radar
Automatic Train Operation
Lane Markings Detection
Portable System
Percepction
Lyapunov Method
Driver Behavior Modeling
Mixed Traffic
Lidar Signal Processing
Intelligent Vehicle
Accident Risk Maps
Deceleration Planning
Nonlinear Observer
Monte Carlo Localization
Tire-road Forces Estimation
Fail-operational Systems
Multi-lane Detection
Data Association
Vehicular Communications
Intelligent Driving
Lateral Displacement
Trajectory Prediction
Online Obtaining
Fail-x Systems
Simulation Results
Sensor Fault
Objects' Edge Detection
Road Friction Coefficient
Square-root Cubature Kalman Filter
Autonomous Driving
Stixel Histograms Accumulate
Image Processing
Softness Factor
Self-driving Car
Sensor And Information Fusion
Signal Restoration
Vulnerable Road Users
Occlusion Reasoning
Multi-vehicle Tracking
History Of Engineering And Technology / Bicssc
Corridor Model
Decision-making
Real-time Monitoring
High-speed Camera
Automatic Operation
Object Detection And Tracking
Point Cloud Segmentation
Hardware-in-the-loop Simulation
Scene Understanding
Sage-husa Algorithm
Transfer Learning
Vision
Target Tracking
Kinematic Model
Self-aligning Torque
Automatic Parking System (aps)
Smart Regenerative Braking
Sparse Direct Method
Mobile Application
Load Transfer Estimation
Merging Maneuvers
Shadow Detection
Intelligent Transportation System
Autonomous Racing
Robot Motion
Slip Angle Estimation
Markov Decision Process
Imu
Shadow Edge
Autonomous Vehicle
Statistical Process Control
Simulation Test
Gnss
Advanced Driving Assistance Systems
Lane-change Decision
Lidar
Autonomous
Gauge Sensors
Hough Transform
Driving Safety
Vehicle Positioning
Sensors
Lane-changing
Semantic Segmentation
Traffic Scene Augmentation
Fusion Velocity
Piecewise Linear Approximation
Millimeter-wave Radar
Driver Distraction
Homotopy Based Path Planning
Lane Departure
Advanced Driver Assistance Systems
Photometric Calibration
Automated Driving
Fail-aware
Advanced Driver Assistance System
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (752 p.)
ISBN:9783039434022
9783039434039
books978-3-03943-403-9

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