Reuben Strydom — accepted AI-conference papers

2021

A Heteroscedastic Likelihood Model for Two-Frame Optical Flow

Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez

RA-L 2021

Machine vision is an important sensing technology used in mobile robotic systems. Advancing the autonomy of such systems requires accurate characterisation of sensor uncertainty. Vision includes intrinsic uncertainty due to the camera sensor and extrinsic uncertainty due to environmental lighting an

Cited by 3 Source ↗Scholar ↗

2019

Mid-Air Conflict Avoidance and Recovery: An Acceleration-Based Approach for Unmanned Aircraft

Dasun Gunasinghe, Kiaran K. K. Lawson, Edwin Davis, Reuben Strydom, Mandyam V. Srinivasan

RA-L 2019

We describe a novel technique for increasing the minimum separation between two aircraft by using a constant acceleration based speed change. The technique predicts the required acceleration each aircraft should execute in order to obtain a safe separation-while accounting for each aircraft's accele

Cited by 4 Source ↗Scholar ↗