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Motion forecasting is an essential task for autonomous driving, and utilizing information from infrastructure and other vehicles can enhance forecasting capabilities.
Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, and Silvio Savarese · 2016
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Link prediction based on graph neural networks
Muhan Zhang and Yixin Chen · 2018
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Multiple futures prediction
Charlie Tang and Russ R Salakhutdinov · 2019
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Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kummerle, Hendrik Konigshof, Christoph Stiller, Arnaud de La Fortelle, and Masayoshi Tomizuka · 2019
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Heterogeneous graph neural network
Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, and Nitesh V Chawla · 2019
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nuscenes: A multimodal dataset for autonomous driving, 2020
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020
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Heterogeneous graph transformer
Ziniu Hu, Yuxiao Dong, Kuansan Wang, and Yizhou Sun · 2020
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The apolloscape open dataset for autonomous driving and its application
Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, and Ruigang Yang · 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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Learning lane graph representations for motion forecasting
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, and Raquel Urtasun · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, and Christian Claudel · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
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Tnt: Target-driven trajectory prediction
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, et al · 2020
Cited alongside, same era.
Large scale interactive motion forecasting for autonomous driving : The waymo open motion dataset, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov · 2021
Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma · 2022
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Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, and Zaiqing Nie · 2022
Later among the works it cites.
Hivt: Hierarchical vector transformer for multi-agent motion prediction
Zikang Zhou, Luyao Ye, Jianping Wang, Kui Wu, and Kejie Lu · 2022
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Transiff: An instance-level feature fusion framework for vehicle-infrastructure cooperative 3d detection with transformers
Ziming Chen, Yifeng Shi, and Jinrang Jia · 2023
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Calibration-free bev representation for infrastructure perception
Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, and Jingjing Liu · 2023
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Loki: Long term and key intentions for trajectory prediction
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, and Chiho Choi · 2021
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Densetnt: End-to-end trajectory prediction from dense goal sets
Junru Gu, Chen Sun, and Hang Zhao · 2021
Cited alongside, same era.
Multimodal motion prediction with stacked transformers
Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, and Bolei Zhou · 2021
Cited alongside, same era.
Scene transformer: A unified architecture for predicting future trajectories of multiple agents
Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, et al · 2021
Cited alongside, same era.
Lanercnn: Distributed representations for graph-centric motion forecasting
Wenyuan Zeng, Ming Liang, Renjie Liao, and Raquel Urtasun · 2021
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Path-aware graph attention for HD maps in motion prediction
Fang Da and Yu Zhang · 2022
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Multi-agent trajectory prediction by combining egocentric and allocentric views
Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, and Wei Zhan · 2022
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Collaboration helps camera overtake lidar in 3d detection
Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, and Yanfeng Wang · 2023
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Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding
Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, and Junchi Yan · 2023
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Core: Cooperative reconstruction for multi-agent perception
Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, and Tianfei Zhou · 2023
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Prophnet: Efficient agent-centric motion forecasting with anchor-informed proposals
Xishun Wang, Tong Su, Fang Da, and Xiaodong Yang · 2023
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Robust asynchronous collaborative 3d detection via bird’s eye view flow
Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, and Ya Zhang · 2023
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Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transformers
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How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception
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Bevheight: A robust framework for vision-based roadside 3d object detection
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Mix-teaching: A simple, unified and effective semi-supervised learning framework for monocular 3d object detection
Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Minghan Zhu, Chuang Zhang, and Huaping Liu · 2023
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Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, and Zaiqing Nie · 2023
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V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, et al · 2023
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Monodetr: depth-guided transformer for monocular 3d object detection
Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Xuanzhuo Xu, Yu Qiao, Peng Gao, and Hongsheng Li · 2023
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Quest: Query stream for vehicle-infrastructure cooperative perception
Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, and Zaiqing Nie · 2024
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Vimi: Vehicle-infrastructure multi-view intermediate fusion for camera-based 3d object detection
Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, and Ya-Qin Zhang · 2024
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