18 citations · 28 across the 4 of their papers we have counts for
5 papers
CERiL: Continuous Event-based Reinforcement Learning
Celyn Walters, Simon Hadfield
This paper explores the potential of event cameras to enable continuous time reinforcement learning. We formalise this problem where a continuous stream of unsynchronised observati…
EDeNN: Event Decay Neural Networks for low latency vision
Celyn Walters, Simon Hadfield
Despite the success of neural networks in computer vision tasks, digital 'neurons' are a very loose approximation of biological neurons. Today's learning approaches are designed to…
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance
Celyn Walters, Simon Hadfield
The broad scope of obstacle avoidance has led to many kinds of computer vision-based approaches. Despite its popularity, it is not a solved problem. Traditional computer vision tec…
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors
Celyn Walters, Oscar Mendez, Simon Hadfield +1
Accurate extrinsic sensor calibration is essential for both autonomous vehicles and robots. Traditionally this is an involved process requiring calibration targets, known fiducial…
There and Back Again: Self-supervised Multispectral Correspondence Estimation
Celyn Walters, Oscar Mendez, Mark Johnson +1
Across a wide range of applications, from autonomous vehicles to medical imaging, multi-spectral images provide an opportunity to extract additional information not present in colo…