ISP Tuning in a Simulation Environment
It is common for engineering teams to collect large volumes of representative video data across a wide range of lighting, weather, and traffic conditions to tune, train, and validate perception pipelines. However, relying solely on real-world data collection is both costly and extremely time-consuming.
To address this challenge, XYLON has partnered with rFpro to develop a new workflow that combines tunable image signal processing (ISP) with high-fidelity synthetic data generation.
The result is a more scalable, efficient, and comprehensive approach to camera development, enabling faster tuning, training, and validation of perception systems.
Find out more about this powerful application — access the full version of the April 2026 issue of Autonomous Vehicle International Magazine at:https://adas.mydigitalpublication.com/april-2026-issue-/page-66.
