Computer Vision for Automotive Applications – the road ahead
One Day BMVA symposium in London, UK on April 13th, 2016.
Chair(s): Toby Breckon (Durham University), Anna Gaszczak (Jaguar Landrover)
Automotive vision is an increasing area within computer vision research for both on and off vehicle applications. Whilst improved driver awareness is an obvious conduit, the greater potential for enhanced sensing within the wider road transport system offers numerous benefits for safety, security and possibly the environment alike.
The aim of this meeting is to bring together researchers and practitioners, from both industry and academia, interested in all aspects of automotive vision and in addition potential future applications of their work into this domain.
09:00 - Registration + Coffee
09:20 - Welcome from the Chair(s)
09:30 : Where am I and what's around me? Deep learning solutions for localisation and perception for autonomous vehicles - Alex Kendall, University of Cambridge
10:00 : Learning to See in Virtual Worlds - Antonio M. López, Universitat Autònoma de Barcelona
10:30 - Coffee Break AM
11:00 : How much of driving is pre-attentive ? - Nicolas Pugeault, University of Exeter
11:30 : Monitoring vehicle occupants with a single camera - Toby Perrett, Bristol University
12:00 : Hand Gesture Monitoring for Driver-Vehicle Interaction - Yannick Jacob, MINES ParisTech
12:30 – Lunch ( + Posters)
13:30 : 1 Year, 1000km: The Oxford RobotCar Dataset – Will Maddern, University of Oxford
14:00 : Cycle-Eye - Detecting Cyclists in the Blind Spot - Tim Styles, Fusion Processing
14:30 : Real-Time Mapping for Self-Driving Cars using Fisheye Cameras - Torsten Sattler, ETH Zurich
15:30 Coffee Break PM
16:00 : On-line Dense 3D Mapping from Non-overlapping On-vehicle Cameras – Oliver Hamilton, Durham University
16:30 : Recognition and Reconstruction of Outdoor Scenes from Streaming Data - Ondrej Miksik, Oxford University
17:00 - End of meeting