several uses


Self driving car ELDIM



Autonomous cars combine a variety of sensors to perceive their surroundings, which enable them to be driver-less. There are three main groups of sensor systems: LiDAR (light detection & ranging),  RADAR sensing technology and cameras.


These sensors must provide a real time picture of the 3D environment of the vehicle.


Video images provide most of the details for the human driver but are also suitable as an input parameter for highly automated driving. Rear and 360° cameras support the driver with a better representation of the environment outside the vehicle.

Self-driving car sensors


LIDAR – Laser-based system. Its measurements emit several thousands laser pulses per second. Pulsed laser diodes emit their beams at a few nanoseconds interval and LiDAR provides reliable information in the shortest amount of time. The distance to the obstacle can be determined by the difference in transit time between the outgoing signal and the incoming reflection, the so-called time of flight (ToF).


RADAR – A Frequency-Modulated Continuous-Wave (FMCW) radar, in which the frequency of the electromagnetic wave is constantly modulated. They are commonly used in environment recognition. To determine the position of an object, several antennas are arranged in crescent shapes.


Camera – To be realistic, for the 3D image , four to six cameras are required. Both 2D and 3D cameras require image sensors with very high dynamic range of more than 130 dB. This high dynamic range is absolutely necessary to deliver the clearest image even with direct sunlight into the lens.


VCProbe-NIR-DSD system

Our equipment characterize LIDAR and VCSEL components in near-infrared (NIR) light. We drive the optics and photonics by developing innovative solutions by Fourier optics and viewing angle measurement for light source characterization. The instrument is optimized for LIDAR characterization and remarkable for long working distance.

    Our Solutions For

    Self driving car Applications