Differentiable renderers provide a direct mathematical link between an object's 3D
representation and images of that object. In this work, we develop an approximate …

Fast, reliable shape reconstruction is an essential ingredient in many computer vision
applications. Neural Radiance Fields demonstrated that photorealistic novel view synthesis …

Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …

Compared to the onboard camera and laser scanner, radar sensor provides lighting and
weather invariant sensing, which is naturally suitable for long-term localization under …

Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-
world scenarios. However, they commonly have a high latency due to the expensive data …

Collaborative perception in unknown environments is a critical task for multi-robot systems.
Without external positioning, multi-robot mapping systems have relied on the transfer of …

Localization in large-scale environments with robust performance is a persistent challenge
for mobile robots. This article proposes a novel system to achieve accurate and robust visual …

Localization, an indispensable component in robotics and automation, encounters
difficulties arising from appearance variations, resulting in inaccurate data associations …

We propose a novel compute-in-memory (CIM)-based ultralow-power framework for
probabilistic localization of insect-scale drones. Localization is a critical subroutine for path …

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 …