3 accepted papers
Recent online methods for HD map construction directly infer local maps from sensor observations, yet suffer from limited perception range, particularly under challenging scenarios such as occlusions by large vehicles or poor visibility in rainy conditions. Inspired by human perception, which increm
Accurate parking slot detection is crucial for autonomous parking and intelligent driving, directly impacting safety and efficiency. However, most existing methods rely on AVM images, making them susceptible to image distortion and vehicle occlusion. Additionally, many approaches independently regre
This letter introduces a novel framework for dense Visual Simultaneous Localization and Mapping (VSLAM) based on Gaussian Splatting. Recently, SLAM based on Gaussian Splatting has shown promising results. However, in monocular scenarios, the Gaussian maps reconstructed lack geometric accuracy and ex