Computer vision based indoor localization methods use either an infrastructure of static
cameras to track mobile entities (eg, people, robots) or cameras attached to the mobile …

Over the last 10 years, huge advances have been made in the areas of sensor technologies
and processing platforms, pushing forward developments in the field of autonomous …

Automatic tracking of activity and location in the classroom is becoming increasingly feasible
and inexpensive. However, although there is a growing interest in creating classrooms …

Effective teamwork is critical to improve patient outcomes in healthcare. However, achieving
this capabilityrequires that pre-service nurses develop the spatial abilities they will require in …

Abstract 3D vision systems will play an important role in next-generation dairy farming due to
the sensing capabilities they provide in the automation of animal husbandry tasks such as …

We present a highly conformable stretchable sensory skin made of soft components. The
skin uses low pressure pneumatic taxels and stretchable channels to conduct pressure …

This article identifies the essential technologies and considerations for the development of
an Automated Cow Monitoring System (ACMS) which uses 3D camera technology for the …

Simultaneous localisation and mapping (SLAM) is the problem of autonomous robots to
construct or update a map of an undetermined unstructured environment while …

As autonomous systems become more integrated into human lives, it is essential to ensure
that they maintain high levels of safety and reliability to prevent accidents or injuries from …

Highlights Developments in automatized feeding lead to farms being locked industrial
production sites. LiDAR and Radar facilitate driverless feed mixers by covering navigation …