AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Driver behavior modeling towards autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
[HTML][HTML] Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
A review of driving style recognition methods from short-term and long-term perspectives
Driving style recognition provides an effective way to understand human driving behaviors
and thereby plays an important role in the automotive sector. However, most works fail to …
and thereby plays an important role in the automotive sector. However, most works fail to …
A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Autonomous mobile robot path planning in unknown and dynamic environment is a crucial
task for successful mobile robot navigation. This study proposes an improved Q-learning …
task for successful mobile robot navigation. This study proposes an improved Q-learning …
[HTML][HTML] Analyzing factors influencing situation awareness in autonomous vehicles—A survey
Autonomous driving of higher automation levels asks for optimal execution of critical
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …
Decision-making driven by driver intelligence and environment reasoning for high-level autonomous vehicles: a survey
Autonomous vehicle (AV) is expected to reshape the future transportation system, and its
decision-making is one of the most critical modules. Many current decision-making modules …
decision-making is one of the most critical modules. Many current decision-making modules …
Review of shared online hailing and autonomous taxi services
As the technology of autonomous vehicle develops, online hailing autonomous taxi system
is regarded as one of the most popular public transportation services in the future. Studies …
is regarded as one of the most popular public transportation services in the future. Studies …
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
This paper investigates the approximation properties of deep neural networks with
piecewise-polynomial activation functions. We derive the required depth, width, and sparsity …
piecewise-polynomial activation functions. We derive the required depth, width, and sparsity …
Human-inspired autonomous driving: A survey
Autonomous vehicles promise to revolutionize society and improve the daily life of many,
making them a coveted aim for a vast research community. To enable complex reasoning in …
making them a coveted aim for a vast research community. To enable complex reasoning in …