Physics-based simulation can support faster development for ADAS, without sacrificing analytic rigor.
Autonomous driving is revolutionizing the global automotive industry. With every new model, cars are smarter and more capable of independently responding to external signals like lane markings, highway signs, other cars and pedestrians. However, formulating a correct response via artificial intelligence depends on flawless sensor performance.
With so many sensors supporting the advanced driver assistance system (ADAS), and so many different factors affecting their performance, how can automotive engineers quickly and confidently verify sensor reliability and complete sensor system? The answer lies in conducting physics-based simulations that accurately predict how sensors will perform under real-world driving conditions.
Recently BMW Group collaborated with Ansys to analyze how the combination of Ansys Speos and Ansys HFSS can accelerate the sensor development process of vehicular perception systems by simulating sensor performance under varying road and weather conditions. The analysis proves that physics-based simulation can support faster, more cost-effective development cycles for ADAS innovations, without sacrificing analytic rigor.
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