Jan 30, 2019 · For autonomous vehicles to be able to operate successfully they need to be aware of other vehicles with sufficient time to make safe, stable plans. Given the possible closing …

In particular, Doppler radar can give a strong indication of motion for objects in the distance helping to classify small groups of pixels as, for example, a vehicle rather than as background. …

Combine detection from multiple camera to improve quality of detection. radar target info is fused with camera through a spatially encoded map for location and velocity. Two branches for …

Combine detection from multiple camera to improve quality of detection. radar target info is fused with camera through a spatially encoded map for location and velocity.

The fusion of multi-sensors can prevent the drawbacks of a single sensor. In this paper, we propose a method to fuse tracked radar and vision targets. We use DBSCAN and SORT …

May 1, 2019 · To solve this problem, the authors in [7], [8] project each radar detection as a solid circle and feed the information carried by the radar detection into extra radar channels.

May 16, 2019 · Abstract For autonomous vehicles to be able to operate successfully they need to be aware of other vehicles with sufficient time to make safe, stable plans. Given the possible …

The detection algorithms based on mmWave radar and vision fusion can significantly improve the perception of autonomous vehicles and help vehicles better cope with the challenge of …

We design and train a detector that operates using both monocular images and radar scans to perform robust vehicle detection in a variety of settings. None of the major datasets used for …

Dec 21, 2024 · Recently, object detection methods based on multi-modal fusion have gained widespread adoption in autonomous driving, proving to be valuable for detecting objects in …