Abstract Simultaneous Localization and Map** (SLAM) have been widely studied over the
last years for autonomous vehicles. SLAM achieves its purpose by constructing a map of the …

Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

Conventional sensor-based localization relies on high-precision maps, which are generally
built using specialized map** techniques involving high labor and computational costs. In …

Online dense map** gives a representation of the unstructured terrain, which is
indispensable for safe robotic motion planning. In this article, we propose such an elevation …

Visual localization for mobile robots and intelligent vehicles in prior LiDAR maps can
achieve high accuracy and low cost. However, algorithms for finding the cross-modal …

Radar and lidar, provided by two different range sensors, each has pros and cons of various
perception tasks on mobile robots or autonomous driving. In this paper, a Monte Carlo …

Multi-sensor fusion-based localization technology has achieved high accuracy in
autonomous systems. How to improve the robustness is the main challenge at present. The …

This article focuses on designing a consistent and efficient filter for visual-inertial localization
given a prebuilt map. First, we propose a new Lie group with its algebra based on which a …