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52. BI Application Development and Their Use for Logistics, Transport and Service Companies

53. Driver distraction detection via multi‐scale domain adaptation network

54. Pedestrian potentially dangerous behaviour prediction based on attention‐long‐short‐term memory with egocentric vision

55. Advancing speed limit detection in ADAS: A novel data-driven approach using Pareto-GBDTMO

56. Velocity Estimation from LiDAR Sensors Motion Distortion Effect.

57. Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model.

58. GERALD: A novel dataset for the detection of German mainline railway signals.

59. Does in-vehicle automation help individuals with Parkinson's disease? A preliminary analysis.

60. Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning.

61. Impact of Handedness on Driver’s Situation Awareness When Driving under Unfamiliar Traffic Regulations

62. Artificial Intelligence and Vehicles [Connected and Automated Vehicles].

63. Does in-vehicle automation help individuals with Parkinson’s disease? A preliminary analysis

64. Driver distraction detection via multi‐scale domain adaptation network.

65. An End-to-End Online Traffic-Risk Incident Prediction in First-Person Dash Camera Videos.

66. ViF-GTAD: A new automotive dataset with ground truth for ADAS/AD development, testing, and validation.

67. Pedestrian potentially dangerous behaviour prediction based on attention‐long‐short‐term memory with egocentric vision.

68. Approach for improved development of advanced driver assistance systems for future smart mobility concepts

69. A Comprehensive Analysis of Model Predictive Control for Lane Keeping Assist System

70. Design and Experimental Analysis of an Adaptive Cruise Control

71. Self-adaptive Eyes off Objects Detection for Distracted Driving

73. Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems.

74. Communication-Traffic-Assisted Mining and Exploitation of Buffer Overflow Vulnerabilities in ADASs.

75. A Real-Time Traffic Sign Recognition Method Using a New Attention-Based Deep Convolutional Neural Network for Smart Vehicles.

76. Does in with the new, mean out with the old? An extended theory of planned behaviour exploring the impact of vehicle technologies on intentions to not wear seatbelts.

77. Adaptive Intervention Algorithms for Advanced Driver Assistance Systems

78. The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events

79. A3CarScene: An audio-visual dataset for driving scene understanding

80. Near‐Infrared Persistent Phosphor‐Mediated Smart Sensing Light‐Emitting Diodes for Advanced Driver Assistance Systems

81. Collection and classification of influence parameters for safety effectiveness of ADAS

82. Nighttime Traffic Sign and Pedestrian Detection Using RefineDet with Time‐Series Information.

83. Automotive mass production of camera systems: Linking image quality to AI performance.

84. Provident vehicle detection at night for advanced driver assistance systems.

85. Interpolation-Based Framework for Generation of Ground Truth Data for Testing Lane Detection Algorithm for Automated Vehicle.

86. Exploratory analysis of injury severity under different levels of driving automation (SAE Levels 2 and 4) using multi-source data.

87. Velocity Estimation from LiDAR Sensors Motion Distortion Effect

88. Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model

89. Automotive Ethernet Physical Optimization and IEEE 1588 Implementation

92. Access to Smartness: An Intelligent Behaviour Monitoring and Safeguard System for Drivers

93. Driving Simulator Validation of Machine Learning Classification for a Surface Electromyography-Based Steering Assistance Interface

94. Survey of Exposure to RF Electromagnetic Fields in the Connected Car

95. Predictive Braking With Brake Light Detection—Field Test

96. An Intelligent Driving Assistance System Based on Lightweight Deep Learning Models

97. Multimodel System for Driver Distraction Detection and Elimination

98. Vehicle Distance Estimation from a Monocular Camera for Advanced Driver Assistance Systems.

99. Concept Development of the Novel Pre Rear-End Positioning and Risk Extenuation System (PREPARES).

100. Real-Time Modeling of Vehicle's Longitudinal-Vertical Dynamics in ADAS Applications.

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