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Found 7 papers, 2 papers with code
Long-Lived Accurate Keypoints in Event Streams
Since this integration is required, we claim it is better to predict the keypoints' trajectories for the time period rather than single locations, as done in previous approaches.
Real-Time Face & Eye Tracking and Blink Detection using Event Cameras
Driver monitoring systems (DMS) are in-cabin safety systems designed to sense and understand a drivers physical and cognitive state.
Learning to Detect Objects with a 1 Megapixel Event Camera
However, due to the novelty of the field, the performance of event-based systems on many vision tasks is still lower compared to conventional frame-based solutions.
A Large Scale Event-based Detection Dataset for Automotive
We introduce the first very large detection dataset for event cameras.
End-to-End Race Driving with Deep Reinforcement Learning
We present research using the latest reinforcement learning algorithm for end-to-end driving without any mediated perception (object recognition, scene understanding).
Deep Reinforcement Learning framework for Autonomous Driving
This is of particular relevance as it is difficult to pose autonomous driving as a supervised learning problem due to strong interactions with the environment including other vehicles, pedestrians and roadworks.
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
This is of particular interest as it is difficult to pose autonomous driving as a supervised learning problem as it has a strong interaction with the environment including other vehicles, pedestrians and roadworks.
