From advanced driver assistance to predictive maintenance in aerospace, ML unlocks powerful capabilities. See how we tackle the challenge, and why safe Machine Learning is the next frontier in aerospace and automotive innovation.
Discover how Model-based Design revolutionizes embedded software development, boosting efficiency, accuracy, and innovation.
DO-278A and DO-178C – Introduction DO-278A stands as a guiding force for ensuring the integrity and safety of software within non-airborne CNS/ATM systems. In synergy with DO-178C, it provides recommendations and a robust framework to instill confidence in the safety of on-ground software. Relation between DO-278A and DO-178C DO-278A and DO-178C share essential supplements, such
During the Golf or Bike Classic organized by Aéro Montréal, CS Group – Canada, in partnership with NGC Aerospace and Laflamme Aero, presented a joint project involving technologies related to autonomous systems. The project will develop a detection and avoidance solution (DAA-Detect And Avoid) to enable the BVLOS (Beyond Visual Line Of Sight) flight of Laflamme Aero’s UAV. Such a solution could be used in autonomous flying vehicles (flying cabs for example) to provide obstacle detection and avoidance functionalities.
NGC Aerospace benefits from CS Canada’s expertise in the certification of safety-critical embedded software to offer its customers an autopilot system for UAVs that can be certified according to the internationally recognized aeronautics standard, DO-178C.
CS Canada will be participating to the DEEL (DEpendable & Explainable Learning) consortium! With a budget of 45 million dollars, this international project aims to make the future aerospace artificial intelligence algorithms certifiable, which is the DNA of our company and people.