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This paper jointly addresses three key limitations in conventional pedestrian trajectory forecasting: pedestrian perception errors, real-world data collection costs, and person ID annotation costs.
Trajectory prediction: learning to map situations to robot trajectories
Nikolay Jetchev and Marc Toussaint · 2009
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Probabilistic Autonomous Robot Navigation in Dynamic Environments with Human Motion Prediction
Amalia Foka and Panos Trahanias · 2010
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Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings
Stefano Pellegrini, Andreas Ess, and Luc Van Gool · 2010
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Reciprocal n-Body Collision Avoidance
Jur P. van den Berg, Stephen J. Guy, Ming C Lin, and Dinesh Manocha · 2011
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Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
Bolei Zhou, Xiaogang Wang, and Xiaoou Tang · 2012
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Learning an Image-Based Motion Context for Multiple People Tracking
Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, and Silvio Savarese · 2014
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FlowNet: Learning Optical Flow with Convolutional Networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Social LSTM: Human Trajectory Prediction in Crowded Spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, and Rita Cucchiara · 2018
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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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Human motion prediction using semi-adaptable neural networks
Yujiao Cheng, Weiye Zhao, Changliu Liu, and Masayoshi Tomizuka · 2019
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Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, and Nemanja Djuric · 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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The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs
Boris Ivanovic and Marco Pavone · 2019
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Social-BiGAT: Multimodal Trajectory Forecasting Using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, S. Hamid Rezatofighi, and Silvio Savarese · 2019
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Human motion trajectory prediction: a survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, and Kai Oliver Arras · 2019
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SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, and Silvio Savarese · 2019
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Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, and Patrick Lucey · 2019
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The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, and Lutz Eckstein · 2020
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It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, and Adrien Gaidon · 2020
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Mantra: Memory augmented networks for multiple trajectory prediction
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, and Alberto Del Bimbo · 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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Learning from synthetic animals
Jiteng Mu, Weichao Qiu, Gregory D. Hager, and Alan L. Yuille · 2020
Cited alongside, same era.
Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
Cited alongside, same era.
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed and Jia Deng · 2020
Cited alongside, same era.
A review of video surveillance systems
Omar Elharrouss, Noor Almaadeed, and Somaya Al-Maadeed · 2021
Cited alongside, same era.
A Two-Block RNN-Based Trajectory Prediction From Incomplete Trajectory
Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma, and Hideo Saito · 2021
Cited alongside, same era.
Transformer Networks for Trajectory Forecasting
Francesco Giuliari, Irtiza Hasan, Marco Cristani, and Fabio Galasso · 2021
Cited alongside, same era.
Forecast-MAE: Self-supervised pre-training for motion forecasting with masked autoencoders
Jie Cheng, Xiaodong Mei, and Ming Liu · 2023
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Saits: Self-attention-based imputation for time series
Wenjie Du, David Côté, and Yan Liu · 2023
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MacFormer: Map-Agent Coupled Transformer for Real-Time and Robust Trajectory Prediction
Chen Feng, Hangning Zhou, Huadong Lin, Zhigang Zhang, Ziyao Xu, Chi Zhang, Boyu Zhou, and Shaojie Shen · 2023
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Expanding the deployment envelope of behavior prediction via adaptive meta-learning
Boris Ivanovic, James Harrison, and Marco Pavone · 2023
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Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction
Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, and Qi Zhu · 2023
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From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting
Karttikeya Mangalam, Yang An, Harshayu Girase, and Jitendra Malik · 2021
Cited alongside, same era.
Jrdb: A dataset and benchmark of egocentric robot visual perception of humans in built environments
Roberto Martin-Martin, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, and Silvio Savarese · 2021
Cited alongside, same era.
Three steps to multimodal trajectory prediction: Modality clustering, classification and synthesis
Jianhua Sun, Yuxuan Li, Hao-Shu Fang, and Cewu Lu · 2021
Cited alongside, same era.
Towards Robust Human Trajectory Prediction in Raw Videos
Rui Yu and Zihan Zhou · 2021
Cited alongside, same era.
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, and Hae-Gon Jeon · 2022
Cited alongside, same era.
Advdo: Realistic adversarial attacks for trajectory prediction
Yulong Cao, Chaowei Xiao, Anima Anankuda, Danfei Xu, and Marco Pavone · 2022
Cited alongside, same era.
Rongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, and Guoren Wang · 2023
Later among the works it cites.
Fast inference and update of probabilistic density estimation on trajectory prediction
Takahiro Maeda and Norimichi Ukita · 2023
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Leapfrog Diffusion Model for Stochastic Trajectory Prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, and Yanfeng Wang · 2023
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Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, and Or Litany · 2023
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Trajectory Unified Transformer for Pedestrian Trajectory Prediction
Liushuai Shi, Le Wang, Sanping Zhou, and Gang Hua · 2023
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Denoising masked autoencoders help robust classification
QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, and Di He · 2023
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Mgf: Mixed gaussian flow for diverse trajectory prediction
Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, and Jiangmiao Pang · 2024
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Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Pranav Singh Chib and Pravendra Singh · 2024
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Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Yang Gao, Po-Chien Luan, and Alexandre Alahi · 2024
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Geometric trajectory diffusion models
Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, and Stefano Ermon · 2024
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DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction
Amir Rasouli Mozghan Pourkeshavarz, Arielle Zhang · 2024
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T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, and Kuk-Jin Yoon · 2024
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Social-Transmotion: Promptable Human Trajectory Prediction
Saeed Saadatnejad, Yang Gao, Kaouther Messaoud, and Alexandre Alahi · 2024
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MS-TIP: Imputation aware pedestrian trajectory prediction
Pranav singh chib, Achintya Nath, Paritosh Kabra, Ishu Gupta, and Pravendra Singh · 2024
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Adaptive human trajectory prediction via latent corridors
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, and Jitendra Malik · 2024
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Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
Yi Xu and Yun Fu · 2024
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Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, and Patrick Pérez · 2024
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OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, and Yun Fu · 2024
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Socially-informed reconstruction for pedestrian trajectory forecasting
Haleh Damirchi, Ali Etemad, and Michael Greenspan · 2025
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CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting
Ryo Fujii, Ryo Hachiuma, and Hideo Saito · 2025
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