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Accelerating Autonomous Engineering

Digital Twin Based Perception, Validation and Safety for AV, ADAS and Smart Cities


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AV Simulation
12
ADAS Safety Regulations
13
Off-Road Simulation
11
Smart Cities
Home June
Hardware-in-the-Loop
14
Sensor Simulation
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Driver-in-the-Loop

Industries

But don't just take our word..
geresh - Ziyu Shen
"Accelerate the development and safe deployment of our ADAS"

Cognata’s leading simulation and Validation software will enable us to accelerate the development and safe deployment of our ADAS and autonomous driving technologies

WhatsApp Image 2022 06 30 at 17.57.33 150x150 - Ziyu Shen
Ziyu Shen,
ECARX
geresh - Omer Keilf
"Helping our customers understand how those will help them"

No doubt that using Cognata Ltd tools is giving us superpowers in designing the perfect lidars and helping our customers understand how those will help them to solve important use cases.

Omer keilaf 150x150 - Omer Keilf
Omer Keilf,
Innoviz Technologies
geresh - Vladimir Vakulin
"We're impressed with Cognata’s high-quality standards"

We carefully inspected several simulation providers and we’re impressed with Cognata’s high-quality standards

WhatsApp Image 2022 07 07 at 12.02.07 150x150 - Vladimir Vakulin
Vladimir Vakulin,
IDF
geresh - Anshuman Saxena
"Cognata provides a realistic and comprehensive simulation"

We feel Cognata provides a realistic and comprehensive simulation environment needed to extend the validation of the different components for our Snapdragon Ride Platform

1517685974294 150x150 - Anshuman Saxena
Anshuman Saxena,
Qualcomm Technologies, Inc.

Features

sensors
sensor
Sensors
RGB HD cameras Fisheye camera - Omnidirectional model 250° Radar – support in mmWave models LiDAR support + Rolling Shutter LWIR – Thermal camera Ultrasonic camera
integration
distributed
Simple integrations
Model Interfaces: Simulink, ROS Tool Interfaces: SUMO Automated testing with Jenkins and Bamboo Supported standards: OpenDrive, OpenScenario
analytics
dashboard
Analytics Platform
Ready-to-use pass/fail criteria for validation and certification of AV and ADAS Powerful custom rule authoring Trend mining for large scale simulation AV virtual certification of regulatory requirements
twins
sensor-1
Digital Twin
Library of pre-built scenarios for common automated driving functions Different terrain types and vehicle physics behavior Comprehensive assets catalog – vehicles, pedestrians, cyclists, vegetation, buildings, and more.
cars
distributed-1
Vehicle Physics
More than 1,000 unique parameters adjusting to the specific vehicle models and dynamics Customized 3D asset import as dynamic/moving objects or Ego cars Ego vehicles hight ranging from 1.5m to 4m, including custom tire diameter and tracks
squares
dashboard-1
DNN Photorealism
Photorealism synthetic data enabled by deep neural networks (DNN) Pixel perfect, Accurate, ground truth consistent annotation in every frame AI with geo-specific interactive behavior profiles
sensors
sensor
Sensors
RGB HD cameras Fisheye camera - Omnidirectional model 250° Radar – support in mmWave models LiDAR support + Rolling Shutter LWIR – Thermal camera Ultrasonic camera
integration
distributed
Simple integrations
Model Interfaces: Simulink, ROS Tool Interfaces: SUMO Automated testing with Jenkins and Bamboo Supported standards: OpenDrive, OpenScenario
analytics
dashboard
Analytics Platform
Ready-to-use pass/fail criteria for validation and certification of AV and ADAS Powerful custom rule authoring Trend mining for large scale simulation AV virtual certification of regulatory requirements
twins
sensor-1
Digital Twin
Library of pre-built scenarios for common automated driving functions Different terrain types and vehicle physics behavior Comprehensive assets catalog – vehicles, pedestrians, cyclists, vegetation, buildings, and more.
cars
distributed-1
Vehicle Physics
More than 1,000 unique parameters adjusting to the specific vehicle models and dynamics Customized 3D asset import as dynamic/moving objects or Ego cars Ego vehicles hight ranging from 1.5m to 4m, including custom tire diameter and tracks
squares
dashboard-1
DNN Photorealism
Photorealism synthetic data enabled by deep neural networks (DNN) Pixel perfect, Accurate, ground truth consistent annotation in every frame AI with geo-specific interactive behavior profiles

News

January 2024
Cognata SimCloud in combination with Xylon logiRECORDER HIL Solution and AMD Zynq UltraScale+ reference architecture will be showcased at the AMD…
January 2024
Cognata to introduce a Microsoft Azure Software-Defined Vehicle deployment at CES 2024 using Cognata SimCloud and Synopsys vECU Solution Rehovot, Israel,…
January 2024
Lidwave’s new 4D sensor harnesses light properties to extract Depth information with Instantaneous Velocity information   Jerusalem, Israel, Jan 2, 2024…
December 2023
Cognata had been chosen by Microsoft to drive the ADPH global program as a global leader for its photorealistic sensor simulation…
November 2023
The MLCommons cognata’s benchmark dataset is now available for MLCommons members working on automotive benchmarks MLCommons Cognata Dataset Rehovot, Israel, Nov…
September 2023
Autonomous vehicles represent a transformative advancement in transportation, with the potential to revolutionize mobility and improve road safety. These vehicles are…

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