8 citations · 16 across the 6 of their papers we have counts for
6 papers
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
E. Visser, C. E. van Daalen, J. C. Schoeman
Bayesian optimization (BO) is a popular method for optimizing expensive black-box functions. BO has several well-documented shortcomings, including computational slowdown with long…
Map Point Selection for Visual SLAM
Christiaan J. Müller, Corné E. van Daalen
Simultaneous localisation and mapping (SLAM) play a vital role in autonomous robotics. Robotic platforms are often resource-constrained, and this limitation motivates resource-effi…
An accurate and efficient approach to probabilistic conflict prediction
Christian E. Roelofse, Corné E. van Daalen
Conflict prediction is a vital component of path planning for autonomous vehicles. Prediction methods must be accurate for reliable navigation, but also computationally efficient t…
Optimised Informed RRTs for Mobile Robot Path Planning
Bongani B. Maseko, Corné E. van Daalen, Johann Treurnicht
Path planners based on basic rapidly-exploring random trees (RRTs) are quick and efficient, and thus favourable for real-time robot path planning, but are almost-surely suboptimal.…
Degenerate Gaussian factors for probabilistic inference
J. C. Schoeman, C. E. van Daalen, J. A. du Preez
In this paper, we propose a parametrised factor that enables inference on Gaussian networks where linear dependencies exist among the random variables. Our factor representation is…
Efficient approximations of the multi-sensor labelled multi-Bernoulli filter
S. C. J. Robertson, C. E. van Daalen, J. A. du Preez
In this paper, we propose two efficient, approximate formulations of the multi-sensor labelled multi-Bernoulli (LMB) filter, which both allow the sensors' measurement updates to be…