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The confluence of the advancement of Autonomous Vehicles (AVs) and the maturity of Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative connected and automated vehicles (CAVs).
“PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation”
R. Charles, Hao Su, Mo Kaichun and Leonidas. Guibas · 2017
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“Focal Loss for Dense Object Detection”
Tsung-Yi Lin et al · 2017
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“AVR: Augmented Vehicular Reality”
Hang Qiu et al · 2018
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“Collaborative Automated Driving: A Machine Learning-based Method to Enhance the Accuracy of Shared Information”
Zaydoun Rawashdeh and Zheng Wang · 2018
Earlier work this paper cites.
“PointPillars: Fast Encoders for Object Detection from Point Clouds”
Alex. Lang et al · 2019
Earlier work this paper cites.
“V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction”
Tsun-Hsuan Wang et al · 2020
Earlier work this paper cites.
“Collaborative Motion Prediction via Neural Motion Message Passing”
Yue Hu, Siheng Chen, Ya Zhang and Xiao Gu · 2020
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“EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning”
Jiachen Li, Fan Yang, Masayoshi Tomizuka and Chiho Choi · 2020
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“VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation”
Jiyang Gao et al · 2020
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“3D Multi-Object Tracking: A Baseline and New Evaluation Metrics”
Xinshuo Weng, Jianren Wang, David Held and Kris Kitani · 2020
Earlier work this paper cites.
“An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale”
Alexey Dosovitskiy et al · 2020
Earlier work this paper cites.
“Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors”
Dongho Choi, Janghyuk Yim, Minjin Baek and Sangsun Lee · 2021
Earlier work this paper cites.
“Spatio-temporal graph dual-attention network for multi-agent prediction and tracking”
Jiachen Li et al · 2021
Earlier work this paper cites.
“Shared cross-modal trajectory prediction for autonomous driving”
Chiho Choi, Joon Choi, Jiachen Li and Srikanth Malla · 2021
Cited alongside, same era.
“Loki: Long term and key intentions for trajectory prediction”
Harshayu Girase et al · 2021
Cited alongside, same era.
“DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets”
Junru Gu, Chen Sun and Hang Zhao · 2021
Cited alongside, same era.
“AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving”
Hang Qiu et al · 2022
Cited alongside, same era.
“OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication”
Runsheng Xu et al · 2022
Cited alongside, same era.
“CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers”
“HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction”
Zikang Zhou et al · 2022
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“Scene Transformer: A unified architecture for predicting future trajectories of multiple agents”
Jiquan Ngiam et al · 2022
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“EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving”
Yuping Wang and Jier Chen · 2023
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“Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds”
Donghao Qiao and Farhana. Zulkernine · 2023
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“HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer”
Hao Xiang, Runsheng Xu and Jiaqi Ma · 2023
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“Disentangled Neural Relational Inference for Interpretable Motion Prediction”
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Runsheng Xu et al · 2022
Cited alongside, same era.
“V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer”
Runsheng Xu et al · 2022
Cited alongside, same era.
“V2V Task Offloading Algorithm with LSTM-based Spatiotemporal Trajectory Prediction Model in SVCNs”
Hui Guo, Lan-lan Rui and Zhi-peng Gao · 2022
Cited alongside, same era.
“Motion Transformer with Global Intention Localization and Local Movement Refinement”
Shaoshuai Shi, Li Jiang, Dengxin Dai and Bernt Schiele · 2022
Cited alongside, same era.
“Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles”
Hang Qiu* et al · 2022
Cited alongside, same era.
“Dynamics-aware spatiotemporal occupancy prediction in urban environments”
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li and Mykel Kochenderfer · 2022
Cited alongside, same era.
“MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction”
Balakrishnan Varadarajan et al · 2022
Cited alongside, same era.
Victoria Dax et al · 2023
Later among the works it cites.
“Learning cooperative trajectory representations for motion forecasting”
Hongzhi Ruan et al · 2023
Later among the works it cites.
“Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments”
Kunming Li et al · 2023
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“Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction”
Yuping Wang and Jier Chen · 2023
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“V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception”
Runsheng Xu et al · 2023
Later among the works it cites.
“Model-Agnostic Multi-Agent Perception Framework”
Runsheng Xu et al · 2023
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“Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments”
Bernard Lange, Jiachen Li and Mykel Kochenderfer · 2024
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