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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://github.com/nvr-avg/scept

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ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning

https://github.com/olivesgatech/trajpred

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TrajPRed: Trajectory Prediction with Region-based Relation Learning

https://github.com/oliviazwy/dcgcn

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Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction

https://github.com/olly-styles/Multi-Camera-Trajectory-Forecasting

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Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras

https://github.com/olly-styles/Multiple-Object-Forecasting

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Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments

https://github.com/olly-styles/trajectory-tensors

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Multi-Camera Trajectory Forecasting with Trajectory Tensors

https://github.com/openperceptionx/hdgt

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HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

https://github.com/oppo-us-research/USST

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Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting

https://github.com/oulu-imeds/climatv2

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Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data

https://github.com/patrickrperrine/comp-choreo

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KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art

https://github.com/pengqianhan/STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction

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STF: Spatial Temporal Fusion for Trajectory Prediction

https://github.com/petrichor625/batraj-behavior-aware-model

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BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving

https://github.com/petrichor625/hltp

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A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving

https://github.com/philippdahlinger/ltsgns_ai4science

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Latent Task-Specific Graph Network Simulators

https://github.com/pranav-chib/trajimpute

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Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

https://github.com/qualityminds/cistgcn

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Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting

https://github.com/queuq/ms-gode

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Learning System Dynamics without Forgetting

https://github.com/quzefan/lush-nerf

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LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

https://github.com/raynbowy23/RNTransformer

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Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information

https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics

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Human Trajectory Prediction via Neural Social Physics

https://github.com/robinwangsd/diffusion-with-multi-modal-priors

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Controllable Motion Generation via Diffusion Modal Coupling

https://github.com/roggirg/AutoBots

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Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

https://github.com/rohollahhs/bad

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BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation

https://github.com/rose-stl-lab/liegan

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Generative Adversarial Symmetry Discovery

https://github.com/rose-stl-lab/pecco

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Probabilistic Symmetry for Multi-Agent Dynamics

https://github.com/rosie068/Double_Encoder_CVAE_AD

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Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease

https://github.com/rosie068/tft-multi

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TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU

https://github.com/saferoboticslab/sharp

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SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction

https://github.com/sajjadmzf/trajpred

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Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks

https://github.com/sariahmghames/neurosym-prediction

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A Neuro-Symbolic Approach for Enhanced Human Motion Prediction

https://github.com/schmidt-ju/crat-pred

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CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention

https://github.com/schmidt-ju/lane-miss-rate

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LMR: Lane Distance-Based Metric for Trajectory Prediction

https://github.com/sebasutp/trajectory_forcasting

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Real Time Trajectory Prediction Using Deep Conditional Generative Models

https://github.com/selflein/mg-gan

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MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

https://github.com/senakicir/keyposeprediction

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Long Term Motion Prediction Using Keyposes

https://github.com/serenetech90/multimodaltraj_2

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Graph2Kernel Grid-LSTM: A Multi-Cued Model for Pedestrian Trajectory Prediction by Learning Adaptive Neighborhoods

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