Occ-Traj120: Occupancy Maps with Associated Trajectories
This provides a resource for researchers in fields like autonomous driving to study how occupancy affects trajectory prediction, but it is incremental as it focuses on data collection rather than new methods.
The authors tackled the lack of environmental data in trajectory modeling by creating a dataset with occupancy maps and associated trajectories, resulting in over 120 maps and 110K trajectories.
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.