Depth Anything represents a groundbreaking advancement in the field of monocular depth perception. This research article outlines the innovative approach taken in designing the Depth Anything model, ...
Stereo Vision in ADAS: Pioneering Depth Perception Beyond LiDAR
Explore the dynamic world of ADAS (Advanced Driver Assistance Systems) and the innovative field of stereo vision. In this article, we'll explore how ADAS stereo vision in cars is changing the game, ...
Integrating ADAS with Keypoint Feature Pyramid Network for 3D LiDAR Object Detection
3D LiDAR object detection is a process that assists with identifying and localizing objects of interest in a 3-dimensional space. In autonomous systems and advanced spatial analysis, the evolution of ...
3D LiDAR Visualization using Open3D: A Case Study on 2D KITTI Depth Frames for Autonomous Driving
3D LiDAR sensor (or) 3-dimensional Light Detection and Ranging is an advanced light-emitting instrument that has the ability to perceive the real-world in a 3-dimensional space, just as we humans do. ...
Object Detection With Depth Measurement Using Pre-trained Models With OAK-D
This is the third blog post in the Oak series. If you haven't checked out the previous posts on OAK, check them below. In this post, we are going to look at how we can run an existing pre-trained ...
Disparity Estimation Using Deep Learning
A conventional video or picture captures the three-dimensional world in two dimensions, losing crucial information regarding depth, which many applications now demand. Depth estimation is a ...
