LiDAR Technology Links

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Explore our offer of LiDAR components and simulations

LiDAR is one of the most important measurement technologies of the 21st century, combining optics, electronics, and advanced data processing algorithms. Its applications span industrial systems, scientific research, and next-generation sensing solutions. A typical LiDAR system consists of three fundamental building blocks:

  • Laser source – generates short, high-energy optical pulses at a defined wavelength (commonly 905 nm or 1550 nm).
  • Photodetector – captures the reflected photons and converts them into an electrical signal.
  • Electronic processing unit – measures timing, amplifies signals, filters noise, and computes distance and spatial coordinates.

SPECTROPOL supports customers at every stage of LiDAR development — from component selection and measurement instrumentation to engineering simulations and design support. This comprehensive approach enables companies and R&D teams to deploy LiDAR-based solutions more rapidly and with greater confidence.


Explore LiDAR components

In professional LiDAR system design, component quality is critical. This is where Excelitas naturally plays a role as a technology enabler.

  • Laser sources from Excelitas are designed for high pulse stability, fast repetition rates, and compliance with eye-safety standards.
  • Photodetectors, including Avalanche Photodiodes (APD) and Single-Photon Avalanche Diodes (SPAD), provide the sensitivity required for long-range and low-signal LiDAR applications.
  • Optoelectronic modules integrate emitters, detectors, and electronics into compact, reliable building blocks, simplifying system integration and accelerating development cycles.

Our partner for LiDAR

These components form the backbone of many modern LiDAR architectures, from experimental setups to industrial and automotive-grade systems.


LiDAR System Design and Simulation

Modern LiDAR systems are increasingly developed using advanced simulation tools. Simulation-driven design enables engineers to:

  • predict system range and measurement accuracy,
  • optimize the optical path and system architecture,
  • reduce development time and lower prototyping costs.

Check the articles following this series, on dedicated webpage isymulacje.pl where we will demonstrate:

  • LiDAR system simulation in the Optiwave environment,
  • advanced optical LiDAR simulation using Lambda Research tools.

Our partners for LiDAR simulations

These approaches allow engineering teams to evaluate performance, identify design trade-offs, and validate system concepts before hardware implementation.

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