Optimizing the Placement of Roadside LiDARs for Autonomous Driving
Multi-agent cooperative perception is an increasingly popular topic in the field of
autonomous driving, where roadside LiDARs play an essential role. However, how to …
autonomous driving, where roadside LiDARs play an essential role. However, how to …
Robot Active Vision-Based Path Planning for Localization Improvement in Indoor Environments
Reliable and robust navigation of autonomous mobile robots in indoor environments faces
significant challenges due to the absence of GPS, visual degradation, repetitive structures …
significant challenges due to the absence of GPS, visual degradation, repetitive structures …
Kabsch Marker Estimation Algorithm, a multi-robot marker-based localization algorithm within the Industry 4.0 Context
This paper introduces the Kabsch Marker Estimation Algorithm (KMEA), a new, robust multi-
marker localization method designed for Autonomous Mobile Robots (AMRs) within Industry …
marker localization method designed for Autonomous Mobile Robots (AMRs) within Industry …
[PDF][PDF] Towards Optimal Beacon Placement for Range-Aided Localization
Range-based localization is ubiquitous: global navigation satellite systems (GNSS) power
mobile phone-based navigation, and autonomous mobile robots can use range …
mobile phone-based navigation, and autonomous mobile robots can use range …