All-Weather Object Recognition Using Radar and Infrared Sensing

no code implementations • 30 Oct 2020 • Marcel Sheeny

First, we developed a methodology based on Stokes parameters using polarised infrared data to recognise vehicles using deep neural networks.

Data Augmentation Object Recognition

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

1 code implementation • 18 Oct 2020 • Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew Wallace

To the best of our knowledge, this is the first public radar dataset which provides high-resolution radar images on public roads with a large amount of road actors labelled.

Autonomous Driving Benchmarking +4

300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning

no code implementations • 6 Dec 2019 • Marcel Sheeny, Andrew Wallace, Sen Wang

For high resolution scene mapping and object recognition, optical technologies such as cameras and LiDAR are the sensors of choice.

Object Object Recognition +1

POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

no code implementations • 7 Apr 2018 • Marcel Sheeny, Andrew Wallace, Mehryar Emambakhsh, Sen Wang, Barry Connor

For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions.