This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

Recently, there have been some attempts of Transformer in 3D point cloud classification. In
order to reduce computations, most existing methods focus on local spatial attention, but …

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

The rapid evolution of smart cities relies heavily on advancements in wireless
communication systems and extensive IoT networks. This paper offers a comprehensive …

Intelligent vehicles demand reliable, continuous, and accurate positioning capability. Light
Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative …

A framework that could achieve submeter-level-accurate horizontal navigation with carrier
phase differential measurements from cellular signals is developed. This framework, termed …

High-precision localization is an important task for intelligent vehicles. Previous studies have
used the raw point cloud for mapping and localization. The problems with this method are …

A method for achieving lane-level localization in global navigation satellite system (GNSS)-
challenged environments is presented. The proposed method uses the pseudoranges …

Real-time and robust pose estimation is required by autonomous driving in dynamic urban
environment. However, many point cloud based localization methods consume large …

Point cloud registration is widely used in the research of intelligent vehicles, typical
problems include map matching, visual odometer, pose estimation, etc. This paper proposes …