Vision Sensors

The information from cameras, lidar, radar and infrared sensors can be combined with Novariant's high precision autosteering solutions to be applied in various applications including robotics, precision agriculture, automotive, construction, mining and other vertical markets.

Autonomous and semi-autonomous vehicles can use Novariant's superior autosteering solutions along with new camera and sensor technologies to be able to move along the paths/fields/roads with cm-level (sub-inch) accuracy while avoiding obstacles and ditches, increasing safety, reducing operating costs and maximizing efficiency.


Cameras - Camera-based systems work similarly to human eyes, utilizing visual perception to capture images and data. They can capture images over very long distances and provide information about everything in their field of view. Having a relatively low cost, cameras are a good vision solution for many applications. Major advances have been made in interpretation of visual data by camera algorithms. Lighting and environmental could be two limitations of cameras.


Lidar - Light Detection and Ranging or Lidar is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light by calculating the time-of-flight until a reflection is returned by objects in the environment. Many sophisticated lidar systems couple multiple laser range finders with rapidly rotating mirrors to generate 360-degree, three-dimensional field of view of environment. Lidar systems are typically useful over a shorter range than other sensors.


Radar - Radio Detection and Ranging or Radar is a system for detecting the presence, direction, distance and speed of an object by sending out pulses of high-frequency electromagnetic waves that are reflected off the object and back to the source. Unlike Lidar that uses laser signals, Radar uses radio waves. Both Lidar and Radar have reflectivity limitations.


Infrared - Infrared (IR) is electromagnetic radiation with longer wavelengths than those of visible light, extending from the nominal red edge of the visible spectrum at 700 nanometers (nm) to 1 mm. In robotic applications such as autonomous vehicles, the Infrared systems are capable of detecting lane markings without the lighting and environmental limitations of cameras. Since the range for this purpose is very small, the IR systems are more useful for detecting lane departures than for tracking lanes. Infrared sensors can be very useful for detecting pedestrians and bicycles, particularly at night.