Traditional Commercial
Radars Are Inadequate

Radar with Oculii’s Virtual
Aperture Imaging Software

Static Waveform that Constantly Repeats and Never Changes

Traditional radar waveforms are single frequency, repeating, and non-adaptive. The only way to create multiple waveforms is to add more receivers.

Dynamic Waveform that Uses AI to Learn from the Environment and Adapt

The Virtual Aperture Imaging waveform is adaptive and phase modulated. Each receiver generates a different phase response at a different time. Then it interpolates and extrapolates data to create a “Virtual Aperture.”

Resolution Requires More Hardware Antennas

With traditional radar, the resolution is dependent on the number of antennas. This means performance is fixed and that more hardware - more antennas, more  processing, increased size, and additional  costs - are needed to achieve higher resolution.

Resolution Increases with Intelligent Software

Radar with Oculii’s Virtual Aperture Imaging software uses software intelligence to enhance resolution and sensitivity. That means the sensor is always improving as the software scales exponentially with more and more data.

Hardware Antennas Increase Cost, Size, Power

Additional antennas increase performance linearly, but cost, size, and power increase exponentially – limiting how many antennas can be used in a commercial radar sensor.

Oculii’s Software Scales with Moore’s Law

Oculii’s Adaptive Virtual AI Software achieves higher resolution with more compute and data – scaling with Moore’s Law to deliver higher resolution and longer range, while becoming cheaper and more cost effective.

Radar with Oculii’s Virtual
Aperture Imaging Software

Dynamic Waveform that Uses AI to Learn from the Environment and Adapt

The Virtual Aperture Imaging waveform is adaptive and phase modulated. Each receiver generates a different phase response at a different time. Then it interpolates and extrapolates data to create a “Virtual Aperture.”

Static Waveform that Constantly Repeats and Never Changes

Traditional radar waveforms are single frequency, repeating, and non-adaptive. The only way to create multiple waveforms is to add more receivers.

Resolution Increases with Intelligent Software

Radar with Oculii’s Virtual Aperture Imaging software uses software intelligence to enhance resolution and sensitivity. That means the sensor is always improving as the software scales exponentially with more and more data.

Resolution Requires More Hardware Antennas

With traditional radar, the resolution is dependent on the number of antennas. This means performance is fixed and that more hardware - more antennas, more  processing, increased size, and additional  costs - are needed to achieve higher resolution.

Oculii’s Software Scales with Moore’s Law

Oculii’s Adaptive Virtual AI Software achieves higher resolution with more compute and data – scaling with Moore’s Law to deliver higher resolution and longer range, while becoming cheaper and more cost effective.

Hardware Antennas Increase Cost, Size, Power

Additional antennas increase performance linearly, but cost, size, and power increase exponentially – limiting how many antennas can be used in a commercial radar sensor.

Scalable Software for Any Platform

Oculii's virtual imaging platform is hardware-agnostic and highly modular. It can run on any radar hardware platform to increase performance, providing a scalable perception solution from advanced driver assistance systems to fully autonomous systems. Combine Oculii software with Oculii hardware and central processors to build even more powerful systems.

Advanced Perception Enabled by Oculii

Simultaneous Localization and Mapping

Precise doppler and angle information enables the sensor to accurately map the environment and and localize itself relative to where it’s been. This is a critical function in both robotics and autonomous vehicles. This enables smarter positioning and safer navigation.

Deep Sensor Fusion Capability

Oculii’s high resolution point cloud data can be fused with other sensors, such as cameras and lidar, at the raw detection level. Systems can get the best out of all sensors, in all weather conditions and situations.