This article addresses how HIL Testing works and helps bridge the gap between the automotive software component models and an actual object like a car.
This article explores how AGL platform facilitates and streamlines the development of infotainment and instrument cluster solutions.
This article addresses the closed-loop approach to virtual AR-HUD development and examines the key benefits that automotive software engineers can get from it.
This article looks at certain use cases to better understand how machine learning (ML) and deep learning (DL) technologies are used to build advanced systems for different levels of vehicle automation.
This article presents some insights and seven proven ways to effectively address the most significant automotive software development challenges.
Check out what it takes to build a highly effective digital cockpit solution and how it can benefit both car makers and Tier1 providers.
Hardware-in-the-Loop (HIL) Automation Testing Client: global manufacturer of agricultural equipment Technology SW tools: MATLAB Simulink, Vector CANoe, TwinCAT Programming scripting automation languages: Python, CAPL HIL hardware: dSPACE, Speedgoat, Beckhoff, Vector VN series Services HIL design – Electrical diagram, HIL block diagram, Assembly support documentation (HW) Manual testing – HIL set-up and maintenance; test cases creation, […]
Touchscreen testing in the Automotive industry – the age of the robots Manual and automated testing and the role robots can play As cars’ touch-screen infotainment systems are evolving & enhancing the driver’s experience with features such as voice recognition, seat controls & connectivity, the necessity of developing tests for both the software & the […]