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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/jacobieee/st-mr

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Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction

https://github.com/jaewoo97/kdtf

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Multi-modal Knowledge Distillation-based Human Trajectory Forecasting

https://github.com/jasonwang959/stpmp

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Spatio-Temporal Branching for Motion Prediction using Motion Increments

https://github.com/jayabrata97/Deep-Attention-Driven-Reinforccement-Learning-DAD-RL

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Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment

https://github.com/jhagenus/general-framework-update-adversarial-jeroen

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Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation

https://github.com/jianing-qiu/tiss

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Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion

https://github.com/jiashunwang/MRT

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Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jmercat/KalmanBaseline

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Kinematic Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset

https://github.com/joy-driven/granp

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GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction

https://github.com/jsun57/comusion

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CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

https://github.com/jwfanggit/hrg_hsg_trajforecasting

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Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning

https://github.com/kami93/CMU-DATF

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Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

https://github.com/kav-institute/mdn_trajectory_forecasting

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Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications

https://github.com/kavisha725/MBNSF

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Multi-Body Neural Scene Flow

https://github.com/keisuke198619/PO-MC-DHVRNN

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Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling

https://github.com/kguo-cs/tdor

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End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

https://github.com/kingwmk/ganet

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GANet: Goal Area Network for Motion Forecasting

https://github.com/kit-mrt/future-motion

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RedMotion: Motion Prediction via Redundancy Reduction

https://github.com/kit-mrt/red-motion

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RedMotion: Motion Prediction via Redundancy Reduction

https://github.com/kit-mrt/road-barlow-twins

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RedMotion: Motion Prediction via Redundancy Reduction

https://github.com/kksniak/metric-flow-matching

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Metric Flow Matching for Smooth Interpolations on the Data Manifold

https://github.com/kosieram21/trajflow

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TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows

https://github.com/kth-rpl/rmp

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RMP: A Random Mask Pretrain Framework for Motion Prediction

https://github.com/kumarmanas/SHIFT

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Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification

https://github.com/l-scofano/stag

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Staged Contact-Aware Global Human Motion Forecasting

https://github.com/lcalem/diva

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Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints

https://github.com/learn-to-race/l2r

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing

https://github.com/lily2lab/deepssm

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DeepSSM: Deep State-Space Model for 3D Human Motion Prediction

https://github.com/linghaochan/humanmac

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HumanMAC: Masked Motion Completion for Human Motion Prediction

https://github.com/linklab-uva/deepracing

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DeepRacing: Parameterized Trajectories for Autonomous Racing

https://github.com/liushuoer/flight2vec

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Effective and Efficient Representation Learning for Flight Trajectories

https://github.com/ljacksonpan/ratrack

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RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud

https://github.com/lmb-freiburg/contrastive-future-trajectory-prediction

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On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors

https://github.com/logan-lin/gtm

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UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation

https://github.com/logan-lin/uvtm

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UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation

https://github.com/lrnzgiusti/simplicial-attention-networks

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Simplicial Attention Neural Networks

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