activity
20182023
most citedHeterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

106 citations · 107 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Heterogeneous robot teams with unified perception and autonomy: How Team CSIRO Data61 tied for the top score at the DARPA Subterranean Challenge

Navinda Kottege, Jason Williams, Brendan Tidd +27

The DARPA Subterranean Challenge was designed for competitors to develop and deploy teams of autonomous robots to explore difficult unknown underground environments. Categorised in…

cs.CV2022★ 1 cited

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

Dimity Miller, Peyman Moghadam, Mark Cox +2

In object detection, false negatives arise when a detector fails to detect a target object. To understand why object detectors produce false negatives, we identify five 'false nega…

cs.RO2021★ 106 cited

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

Nicolas Hudson, Fletcher Talbot, Mark Cox +31

Heterogeneous teams of robots, leveraging a balance between autonomy and human interaction, bring powerful capabilities to the problem of exploring dangerous, unstructured subterra…

cs.RO2018

OVPC Mesh: 3D Free-space Representation for Local Ground Vehicle Navigation

Fabio Ruetz, Emili Hernández, Mark Pfeiffer +4

This paper presents a novel approach for local 3D environment representation for autonomous unmanned ground vehicle (UGV) navigation called On Visible Point Clouds Mesh(OVPC Mesh).…

cs.CV2018

Non-rigid Reconstruction with a Single Moving RGB-D Camera

Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan +2

We present a novel non-rigid reconstruction method using a moving RGB-D camera. Current approaches use only non-rigid part of the scene and completely ignore the rigid background.…