Trajectory Prediction

241 papers with code • 29 benchmarks • 34 datasets

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

Libraries

Use these libraries to find Trajectory Prediction models and implementations

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

alfredgu001324/mapuncertaintyprediction 25 Mar 2024

High-definition (HD) maps have played an integral role in the development of modern autonomous vehicle (AV) stacks, albeit with high associated labeling and maintenance costs.

11
25 Mar 2024

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction

vita-epfl/unitraj 22 Mar 2024

Vehicle trajectory prediction has increasingly relied on data-driven solutions, but their ability to scale to different data domains and the impact of larger dataset sizes on their generalization remain under-explored.

16
22 Mar 2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving

petrichor625/hltp 29 Feb 2024

In autonomous vehicle (AV) technology, the ability to accurately predict the movements of surrounding vehicles is paramount for ensuring safety and operational efficiency.

18
29 Feb 2024

Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation

mousecpn/robot-trajectron 4 Feb 2024

We address the problem of (a) predicting the trajectory of an arm reaching motion, based on a few seconds of the motion's onset, and (b) leveraging this predictor to facilitate shared-control manipulation tasks, easing the cognitive load of the operator by assisting them in their anticipated direction of motion.

11
04 Feb 2024

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

basiralab/fedgmte-net-plus 1 Jan 2024

The three key innovations of FedGmTE-Net++ are: (i) presenting the first federated learning framework specifically designed for brain multi-trajectory evolution prediction in a data-scarce environment, (ii) incorporating an auxiliary regularizer in the local objective function to exploit all the longitudinal brain connectivity within the evolution trajectory and maximize data utilization, (iii) introducing a two-step imputation process, comprising a preliminary KNN-based precompletion followed by an imputation refinement step that employs regressors to improve similarity scores and refine imputations.

0
01 Jan 2024

Social-Transmotion: Promptable Human Trajectory Prediction

vita-epfl/social-transmotion 26 Dec 2023

Our model exhibits flexibility and adaptability by capturing spatiotemporal interactions between pedestrians based on the available visual cues, whether they are poses, bounding boxes, or a combination thereof.

16
26 Dec 2023

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

daeheepark/TrajSDE 26 Dec 2023

To address this limitation, we propose a method based on continuous and stochastic representations of Neural Stochastic Differential Equations (NSDE) for alleviating discrepancies due to data acquisition strategy.

2
26 Dec 2023

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

dngu7/multiple-hypothesis-dropout 18 Dec 2023

In many real-world applications, from robotics to pedestrian trajectory prediction, there is a need to predict multiple real-valued outputs to represent several potential scenarios.

2
18 Dec 2023

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

boschresearch/nuscenes_knowledge_graph 15 Dec 2023

Further, we present nuScenes Knowledge Graph (nSKG), a knowledge graph for the nuScenes dataset, that models explicitly all scene participants and road elements, as well as their semantic and spatial relationships.

12
15 Dec 2023

World Models via Policy-Guided Trajectory Diffusion

marc-rigter/polygrad-world-models 13 Dec 2023

Our results demonstrate that PolyGRAD outperforms state-of-the-art baselines in terms of trajectory prediction error for short trajectories, with the exception of autoregressive diffusion.

32
13 Dec 2023