Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Tumtraf v2x cooperative perception dataset
W Zimmer, GA Wardana, S Sritharan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Cooperative perception offers several benefits for enhancing the capabilities of autonomous
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …
VIPS: Real-time perception fusion for infrastructure-assisted autonomous driving
Infrastructure-assisted autonomous driving is an emerging paradigm that expects to
significantly improve the driving safety of autonomous vehicles. The key enabling …
significantly improve the driving safety of autonomous vehicles. The key enabling …
Advanced learning technologies for intelligent transportation systems: Prospects and challenges
RA Khalil, Z Safelnasr, N Yemane… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …
environment characterized by complex spatial and temporal dynamics at various scales …
Infradet3d: Multi-modal 3d object detection based on roadside infrastructure camera and lidar sensors
Current multi-modal object detection approaches focus on the vehicle domain and are
limited in the perception range and the processing capabilities. Roadside sensor units …
limited in the perception range and the processing capabilities. Roadside sensor units …
Applying enhanced real-time monitoring and counting method for effective traffic management in tashkent
This study describes an applied and enhanced real-time vehicle-counting system that is an
integral part of intelligent transportation systems. The primary objective of this study was to …
integral part of intelligent transportation systems. The primary objective of this study was to …
Federated learning framework coping with hierarchical heterogeneity in cooperative its
R Song, L Zhou, V Lakshminarasimhan… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Deep learning is a key approach for the environment perception function of Cooperative
Intelligent Transportation Systems (C-ITS) with autonomous vehicles and smart traffic …
Intelligent Transportation Systems (C-ITS) with autonomous vehicles and smart traffic …
TUMTraf event: Calibration and fusion resulting in a dataset for roadside event-based and RGB cameras
Event-based cameras are predestined for Intelligent Transportation Systems (ITS). They
provide very high temporal resolution and dynamic range, which can eliminate motion blur …
provide very high temporal resolution and dynamic range, which can eliminate motion blur …
A9 intersection dataset: All you need for urban 3d camera-lidar roadside perception
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
Tumtraf intersection dataset: All you need for urban 3d camera-lidar roadside perception
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …
decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled …