Many different approaches for mapping nearby moving objects are under fast development nowadays due to a number of highly important emerging applications, including autonomous cars and many others.
The majority of existent proposals for solving the problem are based on optical imaging with subsequent post processing.
While this concept already delivered impressive working prototypes (e.g. Tesla, Mobileye, and others), it has fundamental limitations to overcome weather conditions and, more importantly, it is limited to the existence of a line of sight to the objects.

Radars, operating at GHz spectral range, are less sensitive to weather conditions and presence of ambient light (those devices are active, i.e. they generate RF signals themselves). RF radars are already employed in driving safety applications, where they are used to measure distances to nearby vehicles, pedestrians and static obstacles. For example, luxury cars have several radars, each one covering a certain angular sector around the vehicle.
However, it is worth noting, that those radars are also limited to the line of sight and cannot detect motion of multiple targets, located one behind another. Furthermore, in the case of numerous traffic participants, multiple reflections of radar pulses (so-called multipath issues) result in ambiguity.

Our technology

Our radar system is based on specially designed electromagnetic wavefront, which enables performing analog type of filtering, resulting in superior performances.
The system has a unique property, which makes it advantageous over existing solutions – it promises the ability to prevent multipath ambiguity by utilizing special properties of electromagnetic radiation.

Advantages