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Deep learning-based cooperative LiDAR sensing for improved vehicle positioning
Accurate positioning is known to be a fundamental requirement for the deployment of
Connected Automated Vehicles (CAVs). To meet this need, a new emerging trend is …
Connected Automated Vehicles (CAVs). To meet this need, a new emerging trend is …
[HTML][HTML] Applications of Blockchain and Smart Contracts to Address Challenges of Cooperative, Connected, and Automated Mobility
C Kontos, T Panagiotakopoulos… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Population growth and environmental burden have turned the efforts of cities globally toward
smarter and greener mobility. Cooperative and Connected Automated Mobility (CCAM) …
smarter and greener mobility. Cooperative and Connected Automated Mobility (CCAM) …
Extending online 4d situational awareness in connected and automated vehicles
Empowering each vehicle with 4D situational awareness, ie, accurate knowledge of
neighboring vehicles' 3D locations over time in a cooperative manner, is fundamental for …
neighboring vehicles' 3D locations over time in a cooperative manner, is fundamental for …
Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
The unprecedented technological advancements in Artificial Intelligence (AI) and the
Internet of Things (IoT) have given rise to ecosystems of intelligent, interconnected devices …
Internet of Things (IoT) have given rise to ecosystems of intelligent, interconnected devices …
A Real-time Explainable-by-design Super-Resolution Model for LiDAR SLAM
Addressing the prohibitive cost of high-resolution LiDAR sensors, this study introduces a
novel LiDAR Super-Resolution method. In a more detailed manner, we will emphasize on …
novel LiDAR Super-Resolution method. In a more detailed manner, we will emphasize on …
Synthetic Data for Enhancing Perception and Cooperative Localization in Autonomous Vehicles
The design and development of complex cyber-physical systems, as well as systems of
systems, demand a broad array of methods and tools, with simulations playing a crucial role …
systems, demand a broad array of methods and tools, with simulations playing a crucial role …
[PDF][PDF] Optimization-based Models for Explainable Deep Learning Architectures in Multidimensional Signal Processing Applications
A Gkillas - 2024 - researchgate.net
The rapid advancements in technology and the proliferation of digital devices have led to an
unprecedented explosion of data [14]. This data is generated continuously by a myriad of …
unprecedented explosion of data [14]. This data is generated continuously by a myriad of …