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Trajectory Prediction

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하위 태스크: 3
평가표: 32
보존된 평가 기록: 132

Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.

Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/filip_lemic/pm4vr

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Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual Reality with Redirected Walking

https://github.com/705062791/pgbig

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Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

https://github.com/Amir-Samadi/VVF-TP

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A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field

https://github.com/ApolloScapeAuto/dataset-api

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CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

https://github.com/BarqueroGerman/BeLFusion

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BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

https://github.com/Blessinglrq/TPNMS

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Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision

https://github.com/CHELSEA234/SkelNet_motion_prediction

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Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

https://github.com/CHENGY12/CausalHTP

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Human Trajectory Prediction via Counterfactual Analysis

https://github.com/CHENGY12/DisDis

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Personalized Trajectory Prediction via Distribution Discrimination

https://github.com/CIA-Oceanix/TrAISformer

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TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction

https://github.com/ChenLiu-1996/ImageFlowNet

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ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

https://github.com/ChuhuaW/SGNet.pytorch

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Stepwise Goal-Driven Networks for Trajectory Prediction

https://github.com/Droliven/DHMP_jittor

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Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

https://github.com/Droliven/MSRGCN

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MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

https://github.com/EricGuo5513/momask-codes

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MoMask: Generative Masked Modeling of 3D Human Motions

https://github.com/Ezharjan/AutoSceneGen

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

https://github.com/FGiuliari/Trajectory-Transformer

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Transformer Networks for Trajectory Forecasting

https://github.com/GUO-W/MultiMotion

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Multi-Person Extreme Motion Prediction

https://github.com/GilgameshD/ICRA2020-CMTS

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CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios

https://github.com/Haoran-SONG/PiP-Planning-informed-Prediction

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PiP: Planning-informed Trajectory Prediction for Autonomous Driving

https://github.com/HarshayuGirase/PECNet

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It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

https://github.com/JasonMa2016/LDS

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Likelihood-Based Diverse Sampling for Trajectory Forecasting

https://github.com/Jiaolong/trajectory-prediction

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Trajectory Prediction for Autonomous Driving with Topometric Map

https://github.com/JosephGesnouin/Asymmetrical-Bi-RNNs-to-encode-pedestrian-trajectories

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Asymmetrical Bi-RNN for pedestrian trajectory encoding

https://github.com/JunweiLiang/Multiverse

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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

https://github.com/JunweiLiang/Multiverse/tree/master/SimAug

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SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras

https://github.com/Khrylx/AgentFormer

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AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

https://github.com/Khrylx/DLow

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DLow: Diversifying Latent Flows for Diverse Human Motion Prediction

https://github.com/KieDani/SpinAndTrajectoryTableTennis

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Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer

https://github.com/Majiker/STAR

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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

https://github.com/Manojbhat09/Trajformer

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Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving

https://github.com/Marchetz/MANTRA-CVPR20

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MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

https://github.com/MoonBlvd/tad-IROS2019

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Unsupervised Traffic Accident Detection in First-Person Videos

https://github.com/MostHumble/PatientTrajectoryForecasting

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Patient Trajectory Prediction: Integrating Clinical Notes with Transformers

https://github.com/Oghma/sns-lstm

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Social and Scene-Aware Trajectory Prediction in Crowded Spaces

https://github.com/RobertKrajewski/highD-dataset

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The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.