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Vehicle-to-everything (V2X) perception is an innovative technology that enhances vehicle perception accuracy, thereby elevating the security and reliability of autonomous systems.
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
M.Jonathan, C., M.Ueli; and S.Jürgen. 2011 · 2011
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Are we ready for autonomous driving? the KITTI vision benchmark suite
A.Geiger, R., P.Lenz. 2012 · 2012
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Vehicle-to-Vehicle Communication Technology
A.Demba; and D.P.F.Möller. 2018 · 2018
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Securing vehicle-to-everything (V2X) communication platforms
M.Hasan, T., S.Mohan; and H.Lu. 2018 · 2018
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Survey on existing authentication issues for cellular-assisted V2X communication
M.Muhammad; and G.A.Safdar. 2018 · 2018
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Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds
C.Qi, Y., T.Sihai; and F.Song. 2019 · 2019
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Competitive Experience Replay
L.Hao, A.; and C.Xiong. 2019 · 2019
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Brain-inspired replay for continual learning with artificial neural networks
M.van, T.; and S.Tolias. 2020 · 2020
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V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
T.Wang, L., S.Manivasagam; and et al. 2020 · 2020
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Learning to communicate and correct pose errors
V.Nicholas, R.; and et al. 2020 · 2020
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Multi-Domain Multi-Task Rehearsal for Lifelong Learning
L.Fan, W.; and et al. 2021 · 2021
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Learning Distilled Collaboration Graph for Multi-Agent Perception
L.Yiming, W., R.Shunli; and et al. 2021 · 2021
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Learning distilled collaboration graph for multi-agent perception
Y.Li, P., S.Ren; and et al. 2021 · 2021
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Comap: A synthetic dataset for collective multiagent perception of autonomous driving
Y.Yuan; and M.Sester. 2021 · 2021
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Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
C.Shao, Y.; and et al. 2022 · 2022
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CLAD: A realistic Continual Learning benchmark for Autonomous Driving
E.Verwimp, S., K.Yang; and et al. 2022 · 2022
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V2I-CARLA: A Novel Dataset and a Method for Vehicle Reidentification-Based V2I Environment
Ha.Wang, X.; and Y.Cai. 2022 · 2022
Cited alongside, same era.
OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
R.Xu, X., H.Xiang; and J.Ma. 2022 · 2022
Cited alongside, same era.
An Intent-based Framework for Vehicular Edge Computing
H.TianZhang, N., Adel; and et al. 2023 · 2023
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A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment
H.Xie, K., J.Zhu; and et al. 2023 · 2023
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Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning
L.Fan, S.; and et al. 2023 · 2023
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In-situ Anomaly Detection in Additive Manufacturing with Graph Neural Networks
L.Sebastian; and P.A.Hooper. 2023 · 2023
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Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index
S.Anuradha, Y.; and et al. 2023 · 2023
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A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection
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Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
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Integrating Curricula with Replays: Its Effects on Continual Learning
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Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection
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FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
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Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
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