A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

Aiming at the challenges of low detection accuracy, susceptibility to complex background interference, difficulty in detecting small objects, and multi-scale object issues in aerial images, our ...

Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, throughput and mass resolution. Although beneficial, these improvements increase data set size and content. The ...

OpenAD is the first open-world 3D object detection benchmark for autonomous driving. We meticulously selected 2,000 scenes from 5 public datasets and annotated 6,597 3D corner cases for these scenes.

In this paper, we present a PCA-based arc detection algorithm for photovoltaic (PV) DC series arc detection. PCA is a technique of extracting a new parameter that maximizes variance of a dataset while ...

In this study, we propose a lightweight object detection network based on the You-Only-Look-Once-v5 (YOLOv5) to obtain fast detection speed and high accuracy for USVs. The object detection performance ...