We develop optimal solutions for Advanced Driver Assistance Systems (ADAS), Autonomous Vehicles (AV) and Artificial Intelligence algorithm development for other Off-Road markets.
Our team has acquired a unique expertise in camera sensors, computer vision algorithms, mathematical models for deep machine learning, data set conditioning and cloud infrastructures and ADAS embedded systems.
These transverse skills allow us to provide the right solutions using the right technology that fit the constraints of real time.
We build and condition datasets, create mathematical models to customize algorithm IP blocks for autonomous driving applications. These algorithms are optimized to address real-time and embedded constraints in order to meet the performances required by our customers on different platforms.
We benchmark platforms to help our customers select the right solution to meet the performance requirements of their use cases. Our team integrates and optimizes algorithms on embedded Platform solutions by utilizing the Platform dedicated on-chip accelerators to provide high performance at low power consumption.
We deliver high quality training on embedded Platforms for ADAS (Advanced Driver-Assistance Systems).
eCube is a hardware development platform that allows ADAS developers to save precious time and effort when they prototype and they evaluate their innovative use cases having a need for in the loop camera sensors already enabled and tuned.
The development platform comes with eVIEW, eVISION and eTUNE software components already integrated and it can be used on a table or integrated in a test vehicle allowing the developer to concentrate on the application software.
eView enables the video pipeline from multiple camera sensors to the display pipeline for different use cases with an open API allowing ADAS developer to retrieve the frames directly in Linux user space.
eTune enables the control of the HW ISP registers and provides a user-friendly interface to tune parameters on the fly.
eVision is a library perception stack.
eDataSet – Vulnerable Road Users (VRU), Video surveillance.
Our solutions & services follow the ASPICE and ISO 26262 standards
Product innovation in the automotive industry through embedded software (radar, lidar, AV) is continuously increasing. The ASPICE (Automotive Software Performance Improvement and Capability dEtermination) standard was created to address the need for definition, implementation, and evaluation of processes from major OEM’s who have to assess their software and electronic based suppliers.
ASPICE ensures product quality, reduces cost impact and allows the evaluation of 16 development software and system process and will determine the capability level a company reaches on a specific project.
The ISO 26262 ASIL is considered as the good practice framework that ensures safety related systems that include one or more electrical and/or electronic (E/E) systems and that are installed in series production passenger cars.