Abstract: Road depth estimation plays a crucial role in vehicle chassis control and autonomous driving. Monocular depth estimation, due to its low cost, energy efficiency, and ease of deployment, ...

Abstract: Self-supervised monocular depth estimation for fisheye cameras has attracted much attention in recent years due to their large view range. However, the performances of existing methods in ...

LightDepth is a lightweight monocular depth estimation model, built with a ResNet18 encoder-decoder architecture, it demonstrates core concepts of depth estimation from single RGB images without the ...

The time to contact (TTC) of an approaching object can be approximated by its instantaneous distance and velocity. The simplicity of this mathematical solution, however, does not reflect the scale of ...

Fine-tune a base MiDaS model with uncertainty Fine-tune expert MiDaS models with uncertainty Predict depth maps and uncertainty maps for train/val/test images and ...

Many readers and members of blogs in the SB Nation network believe that FanPosts are the heart and soul of their communities. Here’s a little tutorial to make sure you get the most out of them. Try to ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained ...