Occ-Traj120: Occupancy Maps with Associated Trajectories

09/05/2019
by   Tin Lai, et al.
0

Trajectory modelling had been the principal research area for understanding and anticipating human behaviour. Predicting the dynamic path by observing the agent and its surrounding environment are essential for applications such as autonomous driving and indoor navigation suggestions. However, despite the numerous researches that had been presented, most available dataset does not contains any information on environmental factors---such as the occupancy representation of the map---which arguably plays a significant role on how an agent chooses its trajectory. We present a trajectory dataset with the corresponding occupancy representations of different local-maps. The dataset contains more than 120 locally-structured maps with occupancy representation and more than 110K trajectories in total. Each map has few hundred corresponding simulated trajectories that navigate from a spatial location of a room to another point. The dataset is freely available online.

READ FULL TEXT

page 2

page 3

page 5

page 6

research
08/31/2022

Class-Aware Attention for Multimodal Trajectory Prediction

Predicting the possible future trajectories of the surrounding dynamic a...
research
09/30/2021

Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace

Pilots operating aircraft in un-towered airspace rely on their situation...
research
12/11/2020

Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features

Modelling realistic human behaviours in simulation is an ongoing challen...
research
03/26/2022

TridentNetV2: Lightweight Graphical Global Plan Representations for Dynamic Trajectory Generation

We present a framework for dynamic trajectory generation for autonomous ...
research
12/14/2019

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps

In this paper, we propose a novel approach for agent motion prediction i...
research
01/16/2021

TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation

In recent years, various state of the art autonomous vehicle systems and...
research
02/13/2023

Exploring Navigation Maps for Learning-Based Motion Prediction

The prediction of surrounding agents' motion is a key for safe autonomou...

Please sign up or login with your details

Forgot password? Click here to reset