The pipeline of the proposed Motion Cue Fusion Network (MCFNet) is as follows. Voxels generated from raw event streams are first processed by the Event Correction Module (ECM) to produce high-quality ...

The image shows both color information from the color camera and events (blue and red dots) from the event camera generated by a pedestrian running. Now, Daniel Gehrig and Davide Scaramuzza from the ...

Cornell researchers can use two inexpensive cameras on either side of the windshield to detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. Currently, the LiDAR implementation ...

The eyes of raptors such as eagles can accurately perceive prey from kilometers away. Is it possible to model the camera technology after the bird's eyes? Researchers developed a new type of camera, ...

The team noted that integrating AI and bio-inspired cameras addresses a critical concern for drivers: the sudden appearance of pedestrians, giving minimal reaction time for avoidance maneuvers. While ...

Enter Joint Global Commercialization Agreement Partnership will Yield Scalable Neural Network-based Camera Solutions for Edge Sensing Delivers Best-in-class Imaging and Detection to Support Latest ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...