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A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems
User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …
A progressive review: Emerging technologies for ADAS driven solutions
J Nidamanuri, C Nibhanupudi, R Assfalg… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …
Vehicle connectivity and automation: A sibling relationship
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …
two or more technologies. With respect to vehicle connectivity and automation, recent …
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range …
The connectivity aspect of connected autonomous vehicles (CAV) is beneficial because it
facilitates dissemination of traffic-related information to vehicles through Vehicle-to-External …
facilitates dissemination of traffic-related information to vehicles through Vehicle-to-External …
Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning
Automation and connectivity based platforms have great potential for managing highway
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …
[PDF][PDF] Development and testing of an image transformer for explainable autonomous driving systems
Purpose-Perception has been identified as the main cause underlying most autonomous
vehicle related accidents. As the key technology in perception, deep learning (DL) based …
vehicle related accidents. As the key technology in perception, deep learning (DL) based …
Leveraging vehicle connectivity and autonomy to stabilize flow in mixed traffic conditions: Accounting for human-driven vehicle driver behavioral heterogeneity and …
The erratic nature of human driving tends to trigger undesired waves that amplify as
successive driver reactions propagate from the errant vehicle to vehicles upstream. Known …
successive driver reactions propagate from the errant vehicle to vehicles upstream. Known …