Published May 5, 2026
| Version v1
Dataset
Open
Benchmarking Multi-Sensor Multi-People Tracking for Ground Robots
Authors/Creators
- 1. Spindox Labs
-
2.
Dalle Molle Institute for Artificial Intelligence Research
Description
We contribute a novel dataset to benchmark people tracking modules designed for ground robots. We consider a scenario where a robot moves, in a socially compliant manner, among people, tracking them accurately using multiple diverse sensors. The sequences recorded in the dataset are varied (e.g., in terms of people density, people behaviours, presence of obstacles, and robot movements) to cover a wide set of application scenarios.
An article accompanying the dataset and including instructions and software is under submission at Data in Brief.