4 papers
All-Weather Object Recognition Using Radar and Infrared Sensing
Marcel Sheeny
Autonomous cars are an emergent technology which has the capacity to change human lives. The current sensor systems which are most capable of perception are based on optical sensor…
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…