19 citations · 19 across the 4 of their papers we have counts for
5 papers
Estimating Fog Parameters from a Sequence of Stereo Images
Yining Ding, João F. C. Mota, Andrew M. Wallace +1
We propose a method which, given a sequence of stereo foggy images, estimates the parameters of a fog model and updates them dynamically. In contrast with previous approaches, whic…
Radar SLAM: A Robust SLAM System for All Weather Conditions
Ziyang Hong, Yvan Petillot, Andrew Wallace +1
A Simultaneous Localization and Mapping (SLAM) system must be robust to support long-term mobile vehicle and robot applications. However, camera and LiDAR based SLAM systems can be…
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee +3
Datasets for autonomous cars are essential for the development and benchmarking of perception systems. However, most existing datasets are captured with camera and LiDAR sensors in…
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning
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. However, for robust future vehicle autonomy and…
POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors
Marcel Sheeny, Andrew Wallace, Mehryar Emambakhsh +2
For vehicle autonomy, driver assistance and situational awareness, it is necessary to operate at day and night, and in all weather conditions. In particular, long wave infrared (LW…