Although smartphones and other consumer cameras are increasingly used for scientific applications, it's difficult to compare and combine data from different devices. A new easy-to-use standardized ...

Traditional radar-camera calibration requires manual intervention and excessive computational resources, resulting in high labor costs for maintenance in roadside perception scenarios. Thus, we ...

In autonomous driving systems, sensor-based environmental perception is paramount. However, in long-distance perception for rail transit, the extrinsic calibration of Light Detection and Ranging ...