Accelerating deep neural networks for efficient scene understanding in multi-modal automotive applications
S Nousias, EV Pikoulis, C Mavrokefalidis… - IEEE Access, 2023 - ieeexplore.ieee.org
Environment perception constitutes one of the most critical operations performed by semi-
and fully-autonomous vehicles. In recent years, Deep Neural Networks (DNNs) have …
and fully-autonomous vehicles. In recent years, Deep Neural Networks (DNNs) have …
Extending online 4D situational awareness in connected and automated vehicles
N Piperigkos, C Anagnostopoulos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Empowering each vehicle with four dimensional (4D) situational awareness, ie, accurate
knowledge of neighboring vehicles' 3D locations over time in a cooperative manner (instead …
knowledge of neighboring vehicles' 3D locations over time in a cooperative manner (instead …
Alternating optimization for multimodal collaborating odometry estimation in cavs
N Piperigkos, AS Lalos… - 2022 30th Mediterranean …, 2022 - ieeexplore.ieee.org
Cooperative, Connected and Automated Mobility will enable the close coordination of
actions between vehicles, road users and traffic infrastructures, resulting in profound …
actions between vehicles, road users and traffic infrastructures, resulting in profound …
Ai-Based 3d Detection of Parked Vehicles on a Mobile Mapping Platform Using Edge Computing
In this paper we present an edge-based hardware and software framework for the 3D
detection and mapping of parked vehicles on a mobile mapping platform for the use case of …
detection and mapping of parked vehicles on a mobile mapping platform for the use case of …