[PDF][PDF] V2x-sim: A virtual collaborative perception dataset for autonomous driving

Y Li, Z An, Z Wang, Y Zhong, S Chen… - arXiv preprint arXiv …, 2022 - ziyanan.github.io
Abstract Vehicle-to-everything (V2X), which denotes the collaboration between a vehicle
and any entity in its surrounding, can fundamentally improve the perception in self-driving …

Cnn partitioning and offloading for vehicular edge networks in web3

X Xu, S Tang, L Qi, X Zhou, F Dai… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Web3, an emerging blockchain-based decentralized network, grants users ownership and
enhances the collaboration among devices under monitoring. Benefiting from …

Dynamic resource allocation for jointing vehicle-edge deep neural network inference

Q Wang, Z Li, K Nai, Y Chen, M Wen - Journal of Systems Architecture, 2021 - Elsevier
The emergence of mobile edge computing provides an efficient and stable computing
platform for intelligent applications of autonomous vehicles, and deep neural network (DNN) …

Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication

R Xu, H Xiang, X Xia, X Han, J Li… - … Conference on Robotics …, 2022 - ieeexplore.ieee.org
Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …

Graphad: Interaction scene graph for end-to-end autonomous driving

Y Zhang, D Qian, D Li, Y Pan, Y Chen, Z Liang… - arXiv preprint arXiv …, 2024 - arxiv.org
Modeling complicated interactions among the ego-vehicle, road agents, and map elements
has been a crucial part for safety-critical autonomous driving. Previous works on end-to-end …

Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities

Q Yang, S Fu, H Wang, H Fang - IEEE Network, 2021 - ieeexplore.ieee.org
Connected and autonomous vehicles is a disruptive technology that has the potential to
transform the current transportation system by reducing traffic accidents and enhancing …

Edge-network-assisted real-time object detection framework for autonomous driving

SW Kim, K Ko, H Ko, VCM Leung - IEEE Network, 2021 - ieeexplore.ieee.org
Computer vision tasks such as object detection are crucial for the operations of autonomous
vehicles (AVs). Results of many tasks, even those requiring high computational power, can …

HydraFusion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception

AV Malawade, T Mortlock… - 2022 ACM/IEEE 13th …, 2022 - ieeexplore.ieee.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds

Q Chen, X Ma, S Tang, J Guo, Q Yang… - Proceedings of the 4th …, 2019 - dl.acm.org
Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of
surrounding environments, however, with the current state of technology, the data which a …

Infrastructure enabled autonomy: A distributed intelligence architecture for autonomous vehicles

S Gopalswamy, S Rathinam - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
Multiple studies have illustrated the potential for dramatic societal, environmental and
economic benefits from significant penetration of autonomous driving. However, all the …