The original group in what is now the ORI, the Mobile Robotics Group is about building robots and systems which answer “where am I and what surrounds me?” On real vehicles in real-hard places.
It has a proud systems heritage, taking on ambitious field deployments which shine a light on what doesn’t work and has to be fixed by smart application of machine learning, AI and robotics expertise.
This blog post provides an overview of our paper: [bibtex key="ICRA19_porav"] Abstract We present a method for improving segmentation tasks on images affected by adherent rain drops and streaks. We introduce a novel stereo dataset recorded using a system that [...]
Our new all-weather platform pictured outside Blenheim Palace. For more information please take a look at the paper as well as the presentation. This blog post provides an overview of our paper which was recently presented by Stephen [...]
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping
Accurate scene understanding is paramount to the deployment of autonomous vehicles in real-world traffic. They need to perceive and fully understand their environment to accomplish their navigation tasks in a natural [...]
Radar-only ego-motion estimation in difficult settings via graph matching Abstract - Radar detects stable, long-range objects under variable weather and lighting conditions, making it a reliable and versatile sensor well suited for ego-motion estimation. In this work, we propose [...]