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Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
The dataset used in this paper is a trajectory predictor from a developmental commercial flight management system. -
nuScenes Dataset for Autonomous Driving
The nuScenes dataset is a large-scale dataset for autonomous driving, containing 100,000 scenes with 10 Hz sampling frequency. -
Apolloscape Dataset for Autonomous Driving
The Apolloscape dataset is a large-scale dataset for autonomous driving, containing 75 scenarios with 10 Hz sampling frequency. -
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in... -
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
This paper introduces STAR, a framework for spatio-temporal crowd trajectory prediction with only attention mechanisms. -
INTERACTION dataset
The INTERACTION dataset is a highly interactive driving dataset containing merges, roundabouts, and intersections. -
The rounD dataset
The rounD dataset contains trajectories from various locations in Germany captured at a frequency of 25 Hz. -
The highD dataset
A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems. -
Trajnet++ Benchmark
The Trajnet++ benchmark provides a fixed data split and unified pre-processing for these datasets. -
Trajectory Prediction
Trajectory prediction is a crucial task for the safe operation of an autonomous vehicle. The task is known as human trajectory prediction and aims to predict the future... -
Certified Human Trajectory Prediction
Trajectory prediction plays an essential role in autonomous vehicles. While numerous strategies have been developed to enhance the robustness of trajectory prediction models,... -
Stanford Drone Dataset (SDD)
The Stanford Drone Dataset (SDD) is a large-scale dataset that consists of 60 aerial-view videos captured by drones over Stanford University. SDD contains positions of more than... -
ETH-UCY Dataset
The ETH-UCY dataset consists of ETH, Hotel, Univ, Zara1, and Zara2 outdoor scenes captured from a bird’s-eye view. All scenes contain human trajectories in urban scenes.... -
TrajPRed: Trajectory Prediction with Region-based Relation Learning
Forecasting human trajectories in traffic scenes is critical for safety within mixed or fully autonomous systems. Human future trajectories are driven by two major stimuli,... -
ETH and UCY datasets
The ETH and UCY datasets consist of various motions of 1,536 pedestrians across five unique scenes: ETH, Hotel, Univ, Zara1 and Zara2. They are recorded in crowded scenes. -
Stanford Drone Dataset
The Stanford Drone Dataset is a well-established benchmark for human trajectory prediction in bird’s eye view. The dataset consists of 20 scenes captured using a drone in... -
Spectral Temporal Graph Neural Network for Trajectory Prediction
The SpecTGNN dataset is used for trajectory prediction tasks. It contains historical observations of multiple interactive agents and their environment.
