Recently, HD maps have become important parts of autonomous driving, from localization to
perception and path planning. For the practical application of HD maps, it is significant to …

Camera-based online map construction focuses on learning map elements from surround-
view images. Distinguished with previous methods that rely on complete observations, we …

This work explores methodologies for dynamic trajectory generation for urban driving
environments by utilizing coarse global plan representations. In contrast to state-of-the-art …

Currently, High-Definition (HD) maps are a pre-requisite for the stable operation of
autonomous vehicles. Such maps contain information about all static road objects for the …

Quanta image sensors (QIS) are a new type of single-photon imaging device that can
oversample the light field to generate binary bit-streams. The reconstruction for QIS refers to …

视觉SLAM 技术是现代智能装备环境感知的核心技术之一, 是驱动测绘向智能化方向发展的重要
因素. 本文围绕视觉SLAM 环境感知技术, 从特征点法, 直接法, 视觉指纹库, 语义和类脑SLAM 5 …

In autonomous driving system, High-Definition (HD) map is an important basis for
localization, perception and planning tasks. For the construction of HD map, land marking …

Semi-supervised semantic segmentation aims to maximize the training performance for a
limited annotation cost. Existing methods such as cross pseudo supervision have shown …

Understanding which traffic light controls which lane is crucial to navigate intersections
safely. Autonomous vehicles commonly rely on High Definition (HD) maps that contain …

The paper discusses the importance of efficient methods in the automotive industry for the
development of self-driving vehicles and advanced vehicle assistants, focusing on the use of …