4 papers
Vehicle-to-Everything Cooperative Perception for Autonomous Driving
Tao Huang, Jianan Liu, Xi Zhou +5
Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything cooperative perception, which enables vehicles to share perception data, ther…
Analyzing mixed construction and demolition waste in material recovery facilities: evolution, challenges, and applications of computer vision and deep learning
Adrian Langley, Matthew Lonergan, Tao Huang +1
Improving the automatic and timely recognition of construction and demolition waste composition is crucial for enhancing business returns, economic outcomes and sustainability. Whi…
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
Ben Walters, Yeshwanth Bethi, Taylor Kergan +5
Neuromorphic engineering aims to advance computing by mimicking the brain's efficient processing, where data is encoded as asynchronous temporal events. This eliminates the need fo…
How to Track and Segment Fish without Human Annotations: A Self-Supervised Deep Learning Approach
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how the…