A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
Event-based vision: A survey
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
Spiking transformers for event-based single object tracking
Event-based cameras bring a unique capability to tracking, being able to function in
challenging real-world conditions as a direct result of their high temporal resolution and high …
challenging real-world conditions as a direct result of their high temporal resolution and high …
Aegnn: Asynchronous event-based graph neural networks
S Schaefer, D Gehrig… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
The best performing learning algorithms devised for event cameras work by first converting
events into dense representations that are then processed using standard CNNs. However …
events into dense representations that are then processed using standard CNNs. However …
Self-balancing federated learning with global imbalanced data in mobile systems
Federated learning (FL) is a distributed deep learning method that enables multiple
participants, such as mobile and IoT devices, to contribute a neural network while their …
participants, such as mobile and IoT devices, to contribute a neural network while their …
Learning to detect objects with a 1 megapixel event camera
E Perot, P De Tournemire, D Nitti… - Advances in Neural …, 2020 - proceedings.neurips.cc
Event cameras encode visual information with high temporal precision, low data-rate, and
high-dynamic range. Thanks to these characteristics, event cameras are particularly suited …
high-dynamic range. Thanks to these characteristics, event cameras are particularly suited …
Event-based neuromorphic vision for autonomous driving: A paradigm shift for bio-inspired visual sensing and perception
As a bio-inspired and emerging sensor, an event-based neuromorphic vision sensor has a
different working principle compared to the standard frame-based cameras, which leads to …
different working principle compared to the standard frame-based cameras, which leads to …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
Unsupervised event-based learning of optical flow, depth, and egomotion
In this work, we propose a novel framework for unsupervised learning for event cameras that
learns motion information from only the event stream. In particular, we propose an input …
learns motion information from only the event stream. In particular, we propose an input …
A review on state-of-the-art power line inspection techniques
With the fast development of smart grid, the power line mileage and power equipments get
rapid growth. The contradiction between the large number of maintenance equipments and …
rapid growth. The contradiction between the large number of maintenance equipments and …