May 21, 2025
Article
As autonomous vehicles and advanced driver-assistance systems (ADAS) continue to evolve, LiDAR has become an essential sensing technology for generating high-resolution 3D maps of the environment. To handle the massive data throughput and real-time processing demands of LiDAR, robust embedded platforms are a must. At iWave Global, we specialize in designing scalable, high-performance embedded systems that are tailor-made for LiDAR applications.
LiDAR sensors emit rapid light pulses and measure the time it takes for the reflections to return. This generates a dense point cloud — often millions of data points every second — that the system must process with very low latency.
Key processing challenges include:
A competent embedded LiDAR system needs to address:
To address these challenges, iWave employs modular embedded platforms built on FPGA- or MPSoC-based architectures. These give you the flexibility, scalability, and performance critical for LiDAR workloads.
For instance, Zynq UltraScale+ MPSoC devices provide:
iWave’s embedded platforms support advanced AI stacks like Vitis AI to run neural networks for object detection, segmentation, and classification.
These systems also include hardware codecs (H.264/H.265) and support OpenCV-based image processing, ensuring that high-speed video or image data from LiDAR — or fused sensors — can be efficiently handled.
Safety-critical LiDAR applications benefit from iWave’s use of real-time cores (e.g., Cortex-R5) for system monitoring and fault management.
The embedded architecture also supports layered security, offering robust protection for in-vehicle systems.
In addition, these platforms are designed to maintain high performance while being power-efficient, making them ideal for automotive and mobile deployments.
In a case study, iWave deployed a LiDAR system using the ZU19EG MPSoC SoM. This module supports multiple high-speed transceivers, DSP slices, and programmable logic — making it capable of handling massive LiDAR data throughput while maintaining low-latency object detection and classification.
The flexibility of SoM based design meant the customer could get to market faster, reduce development risk, and focus on their core LiDAR innovation.
LiDAR systems demand embedded platforms that combine raw processing power, low latency, AI capabilities, and real-time control. iWave Global delivers with MPSoC- and FPGA-based solutions built for these intensive workloads, accelerating your development and enabling next-gen autonomous capabilities.
To learn more about how our embedded platforms can power your LiDAR applications, reach out to our team at mktg@iwave-global.com
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