Automotive & motorsport


signal path lengths, reduce parasitic capacitance and ensure efficient, high-bandwidth communication between functional blocks. The result is predictable, low-latency performance, with multiple high- bandwidth inputs processed simultaneously and minimal computational overhead.


For ADAS, this means raw sensor data can be digitised, filtered and fed into dedicated processing pipelines without travelling across multiple chips or buses, avoiding queuing and bandwidth bottlenecks. Fixed-function accelerators, performing operations such as convolution, correlation, FFTs or Doppler extraction, transform raw waveforms and images into geometric and motion information with guaranteed timing. This helps to ensure that object detection, lane tracking and trajectory prediction remain stable even as sensor resolutions increase and frame rates rise.


For user inputs, on-chip integration supports low-jitter acquisition of touch, haptic and audio signals, while dedicated signal processing engines handle filtering, gesture recognition, echo cancellation and event classification with minimal overhead. As memory hierarchies and data paths are purpose-built, the system avoids contention between infotainment workloads and safety-critical ADAS tasks, a common limitation in general-purpose chips.


Just as Ford’s Model T once offered uniformity, Instrumentation Monthly February 2026


today’s consumers expect vehicles that deliver responsive, safe and immersive human-centric experiences. ASICs make this possible, enabling deterministic control over sensor fusion, infotainment and user interfaces. By combining high-performance computing with tightly integrated hardware accelerators, manufacturers can meet these evolving expectations.


Swindon Silicon Systems www.swindonsilicon.com


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