"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
Ziyu Shen,
ECARX
"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 Keilf,
Innoviz Technologies
"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
Vladimir Vakulin,
IDF
"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
Anshuman Saxena,
Qualcomm Technologies, Inc.
Features
Sensors
RGB HD cameras
Fisheye camera - Omnidirectional model 250°
Radar – support in mmWave models
LiDAR support + Rolling Shutter
LWIR – Thermal camera
Ultrasonic camera
Simple integrations
Model Interfaces: Simulink, ROS
Tool Interfaces: SUMO
Automated testing with Jenkins and Bamboo
Supported standards: OpenDrive, OpenScenario
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
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.
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
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
RGB HD cameras
Fisheye camera - Omnidirectional model 250°
Radar – support in mmWave models
LiDAR support + Rolling Shutter
LWIR – Thermal camera
Ultrasonic camera
Simple integrations
Model Interfaces: Simulink, ROS
Tool Interfaces: SUMO
Automated testing with Jenkins and Bamboo
Supported standards: OpenDrive, OpenScenario
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
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.
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
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
Autonomous vehicles represent a transformative advancement in transportation, with the potential to revolutionize mobility and improve road safety. These vehicles are…
Key Highlights Cognata launches a new product service using Microsoft Azure that allows Automotive Customers to virtually evaluate ADAS/AV sensors through…
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