LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, ...
CVPR 2024: An Overview and Key Papers
AI research made great strides in 2023-2024, including VLLMs like GPT4-O and Gemini; Text-to-Video Diffusion Models like SORA and Veo; and Humanoids like Atlas V2, Figure -01, and Tesla Optimus. ...
Understanding Visual SLAM for Robotics Perception: Building Monocular SLAM from Scratch in Python OpenCV
Introduction to Monocular SLAM: Have you ever wondered how Tesla's Autonomous Vehicle views its surroundings and understands its position, and makes smart decisions to reach its target ...
Depth Anything: Accelerating Monocular Depth Perception
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 ...
