While on public roads self-driving cars are still years away, autonomous systems are already common in much less congested and/or much more controlled environments — such as farm fields, ports, mines, rivers, and in the air — where the risk of a collision causing injuries or fatalities is smaller by orders of magnitude. From unmanned aerial vehicles (UAVs) taking aerial photographs, to unmanned ground vehicles (UGVs) spraying vineyards, to unmanned surface vessels (USV) conducting hydrographic surveys, autonomous or semi-autonomous systems are generally much safer, more efficient, and cheaper to operate than their manned counterparts.
Whether they have wheels, hulls, or wings to properly perform their tasks, autonomous systems need to know — with great accuracy — their position, heading and attitude (roll, pitch, yaw, surge, sway, and heave). For example, to spray grapes in a vineyard, an autonomous system needs to know not only its exact position but also whether it is level or tilted to one side due to uneven terrain, lest it spray the ground or into the air instead of the grapes. Similarly, a survey vessel’s pitch, which depends on its speed through the water, and its roll, due to waves and wind, affect the direction of its sonar beams.
Knowing a platform’s position, heading and attitude requires tight integration of the outputs of GNSS receivers and inertial navigation systems (INS). This enables autonomous systems to compensate for their movements — either physically and in real time, by orienting their sensors or tools, or in software when post-processing the data they collected.
The following three case studies sample current developments in autonomous systems on land, in the air, and on the water.
— Matteo Luccio, Editor-in-Chief
Learn more about the following case studies:
ON LAND
Hexagon | NovAtel: Talking on land with SMART antennas
IN THE AIR
Trimble Applanix: Unmanned aerial vehicles aid survey efforts
ON THE WATER
CHC Navigation: The boat boost
