We regret to inform you that this event is now cancelled.
This is outside the control of the INI, Newton Gateway or any of the Programme Academic organisers.Please accept our apologies. If you have registered and made any travel arrangements please contact gateway@newton.ac.uk and we can advise you on how to receive travel reimbursement.

This Open for Business workshop on Autonomous Vehicle (AV) Software will feature technical talks exploring the mathematics, statistics and computing (machine learning and artificial intelligence) underlying world-leading AV technologies. It is taking place within the INI Programme on The Mathematical and Statistical Foundation of Future Data-driven Engineering and is being delivered as part of a Deep Dive session entitled Optimal Control and Inference. Technical talks will be given by three leading speakers from Oxford University spin-out Oxbotica.
 

Background

Oxbotica, founded in 2014, is building the software that is driving the next generation of autonomous vehicles for real-world application both on- and off-road.
 
Drawing from computer science, AI and ML, software engineering, physics, robotics and maths, its Universal Autonomy platform is sensor and vehicle agnostic, so any vehicle can drive itself, in any domain or environment, safely and sustainably. In May 2022, the company reached a major milestone when it completed the first deployment of a zero-occupancy, fully autonomous
vehicle on a publicly accessible road in Europe.
 
Because of the complexity of safety and operational requirements for AVs, large-scale and diverse testing is an integral part of software development at Oxbotica. The company tests in many ways, using both established industry best practices and new techniques appropriate for a product as advanced and complex as AV software. The ways in which they test, verify and validate the software are as innovative as the AV software itself. For example, Oxbotica MetaDriver harnesses AI and onboard data to synthesise simulated scenarios with real-world driving miles. It’s capable of validating most of a customer’s environment without driving an actual vehicle in it, and can detect ‘edge cases’ more than 1,000 times faster than traditional technology.
 

Aims and Objectives

The workshop will explore:
1. the underlying Mathis of the various technologies developed by Oxbotica, including the Metaverse-tested MetaDriver.
2. the applications of (and challenges faced by) these technologies
3. the curation and use of data from both physical and synthetic sources
4. the synthesis of physics informed (dynamic systems) and data centric approaches.

In the mid-1990s Professor Paul Newman set out the fundamental algorithms that underpin many modern autonomy systems. From the outset, Oxbotica has shared Newman’s focus on taking AV technology from basic research and out into the market. This workshop is a chance to hear how Oxbotica develops solutions for the many challenges involved in building, testing and proving out complex, fast-changing technology that must meet stringent criteria for both physical safety and, given the volume of data generated, robust cyber security provisions.
This workshop will connect mathematicians and statisticians with Oxbotica engineers Professor Paul Newman; Ben Upcroft, VP of Technology; and Ryan Smith, VP of Technology Solutions.

Organisers 

Deniz Akyildiz - Imperial College London
Lawrence A. Bull - University of Cambridge
Mark Girolami - Alan Turing Institute
Susana Gomes - University of Warwick
Ieva Kazlauskaite - University of Cambridge
Sebastian Reich - Universität Potsdam
Zack Xuereb Conti - Alan Turing Institute

Registration and Venue

We regret to inform you that this event is now cancelled.This is outside the control of the INI, Newton Gateway or any of the Programme Academic organisers.
Please accept our apologies. If you have registered and made any travel arrangements please contact gateway@newton.ac.uk and we can advise you on how to receive travel reimbursement.