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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/continental/empirical-bayes-analysis-of-object-trajectory

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An Empirical Bayes Analysis of Object Trajectory Representation Models

https://github.com/continental/everything-polynomial

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Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations

https://github.com/coolsunxu/sophie

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SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints

https://github.com/cr7anand/neural_temporal_models

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A Neural Temporal Model for Human Motion Prediction

https://github.com/crowdbotp/OpenTraj

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OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

https://github.com/cruiseresearchgroup/ESPRESSO

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ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

https://github.com/ctu-vras/let-it-flow

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Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering

https://github.com/ctu-vras/monoforce

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MonoForce: Learnable Image-conditioned Physics Engine

https://github.com/cvlab-epfl/mvflow

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Multi-view Tracking Using Weakly Supervised Human Motion Prediction

https://github.com/cvml-cfu/ecam

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ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting

https://github.com/d1024choi/hlstrajforecast

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Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting

https://github.com/d1024choi/traj-pred-irl

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Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning Framework

https://github.com/daeheepark/TrajSDE

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Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation

https://github.com/daeheepark/t4p

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T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

https://github.com/danielsun94/cfpa

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CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction

https://github.com/deepgraphlearning/siamdiff

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Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction

https://github.com/dekai21/multi_agent_intersection

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Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information

https://github.com/dendorferpatrick/GoalGAN

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Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation

https://github.com/dendorferpatrick/quovadis

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Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

https://github.com/dngu7/multiple-hypothesis-dropout

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Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

https://github.com/droliven/diverse_sampling

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

https://github.com/dsx0511/3dmotformer

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3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

https://github.com/dulucas/simlpe

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Back to MLP: A Simple Baseline for Human Motion Prediction

https://github.com/ebekkers/ponita

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Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space

https://github.com/eclipse-bot/sa-attack

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SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction

https://github.com/edshieh/motionprediction

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A Mixture of Experts Approach to 3D Human Motion Prediction

https://github.com/edugallogithub/nonstandard-atmosphere

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Quasi Static Atmospheric Model for Aircraft Trajectory Prediction and Flight Simulation

https://github.com/egulsoylu/image-ais-fusion

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Image and AIS Data Fusion Technique for Maritime Computer Vision Applications

https://github.com/ekwebb/fNRI

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Factorised Neural Relational Inference for Multi-Interaction Systems

https://github.com/emitch27/scrnn

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A Topological Deep Learning Framework for Neural Spike Decoding

https://github.com/ericaweng/joint-metrics-matter

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Joint Metrics Matter: A Better Standard for Trajectory Forecasting

https://github.com/eth-ait/motion-transformer

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A Spatio-temporal Transformer for 3D Human Motion Prediction

https://github.com/eyesofworld/maritime-monitoring

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AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review

https://github.com/fengzicai/awesomewmad

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A Survey of World Models for Autonomous Driving

https://github.com/fengzicai/wmad-benchmarks

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A Survey of World Models for Autonomous Driving

https://github.com/fordcvresearch/fir-trajectory-prediction

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FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving

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