3 accepted papers
While Large Language Models (LLMs) demonstrate immense potential for automating integrated circuit (IC) development, their practical deployment is fundamentally limited by restricted context windows. Existing context-extension methods struggle to achieve effective semantic modeling and thorough mult
Detecting 3D lane lines from images is a fundamental challenge and an ill-posed problem in autonomous driving. Existing methods are limited by scene robustness and computational efficiency. This paper introduces an innovative 3D lane detection method that addresses the challenges of lane detection i…
Ground segmentation is a fundamental task in the field of 3D perception using 3D LiDAR sensors. Several ground segmentation methods have been proposed, but they often suffer from mis-segmentation, especially missed detection, due to poor noise removal, unreasonable ground pre-blocking and lack of re