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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/argoai/argoverse-api

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Argoverse: 3D Tracking and Forecasting with Rich Maps

https://github.com/aryan-garg/pecnet-pedestrian-trajectory-prediction

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G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System

https://github.com/aurora-xin/group2int-trajectory

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Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction

https://github.com/av-lab/emt-dataset

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EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region

https://github.com/basiralab/GmTE-Net

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A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint

https://github.com/basiralab/fedgmte-net-plus

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Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data

https://github.com/bigdasgit/caper

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CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship

https://github.com/borisivanovic/planningawareevaluation

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Injecting Planning-Awareness into Prediction and Detection Evaluation

https://github.com/boschresearch/cuae-prediction

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Conditional Unscented Autoencoders for Trajectory Prediction

https://github.com/boschresearch/nuscenes_knowledge_graph

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nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction

https://github.com/bouracha/OoDMotion

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Generative Model-Enhanced Human Motion Prediction

https://github.com/bouracha/generative_imputation

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Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion

https://github.com/bpucla/lbebm

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Trajectory Prediction with Latent Belief Energy-Based Model

https://github.com/bradleywang0416/gcnext

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GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

https://github.com/brinkl/graphhetnet

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Few-shot human motion prediction for heterogeneous sensors

https://github.com/c-obso/c-obso

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Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

https://github.com/carrotsniper/bp-sgcn

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BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction

https://github.com/carrotsniper/multiclass-sgcn

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Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding

https://github.com/carrotsniper/uniedge

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Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction

https://github.com/chenfengxu714/pretram

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PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map

https://github.com/chenghuang66/s2tnet

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S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

https://github.com/chengxuduan/advhmp

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Physics-constrained Attack against Convolution-based Human Motion Prediction

https://github.com/chenzhounan/pen-net

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Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm

https://github.com/chiragraman/social-processes

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Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting

https://github.com/chuhengwei/ki_gan

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KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections

https://github.com/cmubig/t2fpv

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T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction

https://github.com/cocoon2wong/Vertical

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View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

https://github.com/cocoon2wong/e-vertical

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Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums

https://github.com/cocoon2wong/socialcircle

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SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction

https://github.com/cocoon2wong/socialcircleplus

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SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction

https://github.com/codertylor/fl-tp

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Federated Learning-based Vehicle Trajectory Prediction against Cyberattacks

https://github.com/cognitive-robots/risk-aware-trajectory-prediction

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Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis

https://github.com/colorfulfuture/awesome-trajectory-motion-prediction-papers

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Trajectory Prediction Meets Large Language Models: A Survey

https://github.com/colorfulfuture/gc-vrnn

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Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction

https://github.com/colorfulfuture/unitraj-pytorch

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Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent

https://github.com/commonroad/crgeo

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Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric

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