Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Simultaneous localization and map** (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

The idea of cooperation has been introduced to self-driving cars about a decade ago with
the aim to reduce the occlusion caused by other users or the scene. More recently, the …

In this paper, we present a multivehicle cooperative driving system architecture using
cooperative perception along with experimental validation. For this goal, we first propose a …

Sensor-based perception on vehicles are becoming prevalent and important to enhance
road safety. Autonomous driving systems use cameras, LiDAR and radar to detect …

This paper describes an on-line algorithm for multi-robot simultaneous localization and
map** (SLAM). The starting point is the single-robot Rao-Blackwellized particle filter …

Exploration of initially unknown environments is an online task in which autonomous mobile
robots coordinate themselves to efficiently discover free spaces and obstacles. Several …

This paper describes a new algorithm for cooperative and persistent simultaneous
localization and map** (SLAM) using multiple robots. Recent pose graph representations …

A multi-robot system can be highly beneficial for exploration, which is a core robotics task.
Application domains include, for example, surveillance, reconnaissance, planetary …

The combination of aerial survey capabilities of unmanned aerial vehicles (UAVs) with
targeted intervention abilities of agricultural unmanned ground vehicles (UGVs) can …