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Transportation
Advanced Driver-Assistance (ADAS)
Use Cyclone® and MAX® FPGA technology for selected ADAS sensor-edge control, monitoring, and data preparation.
Programmable Control at the ADAS Edge
ADAS systems must manage sensor timing, interfaces, and diagnostics while delivering data to a perception processor. Cyclone V and MAX 10 devices can serve selected sensor-edge data-path and supervisory roles where their interfaces, throughput, and qualified part options fit the design.
Cyclone® V FPGA programmable logic can implement bounded preprocessing, timing, and data movement for suitable sensor paths. MAX® 10 FPGAs provide configurable I/O, on-chip flash, and integrated analog-to-digital converter (ADC) options for monitoring, sequencing, and control. Verify the exact automotive-qualified orderable part and complete-system safety case.
The Challenges, and Why FPGA
The Challenge
Sensor-Edge Timing
Different sensor interfaces and rates complicate capture, synchronization, and delivery to the processing system.
Why FPGA
Flexible Logic at the Edge
Cyclone V FPGA logic can align selected inputs and manage data movement within a verified interface and throughput budget.
The Challenge
Dependable Data Delivery
Sensor information and status signals must reach the host processor within the design’s timing budget.
Why FPGA
Deterministic Control Paths
Programmable logic can handle bounded control and preprocessing tasks; validate latency in the complete system.
The Challenge
Monitoring and Diagnostics
ADAS electronics need power-up sequencing, sensor-status visibility, and fault reporting alongside processing.
Why FPGA
Integrated Supervisory Logic
MAX 10 FPGAs can combine programmable I/O, flash configuration, and ADC-based monitoring for selected companion functions.
Why Altera
Cyclone V FPGA Data Paths
Programmable logic supports selected sensor-interface, timing, and preprocessing functions when device resources fit.
MAX 10 Device Supervision
Integrated flash, ADC options, and programmable I/O can support monitoring and control near the sensor edge.
Exact-Part Qualification
Select a qualified orderable part and verify temperature, reliability, interfaces, and system safety requirements.
Lifecycle Planning
MAX 10 and Cyclone V families are planned for availability through 2045.
Get Started
More Transportation Applications
Software-Defined Vehicle (SDV)
Adapt vehicle data paths and system functions as requirements evolve.
Electric Vehicle (EV) Powertrain
Apply programmable control to selected battery, inverter, and motor functions.
Common Questions
An FPGA can handle selected sensor interfaces, input timing, preprocessing and data movement before information reaches a perception processor. Cyclone V provides programmable logic for these bounded paths, with interface compatibility, throughput and latency verified against the sensor and complete-system requirements. Explore Cyclone V ADAS sensor-edge logic
Sensor-edge preprocessing prepares and delivers data, while the perception processor receives that information for higher-level processing. The FPGA role covers selected timing, interface and data-handling functions, allowing it to complement the host without assuming that a companion device implements the complete ADAS processing system.
Supervisory logic can provide power-up sequencing, sensor-status visibility and fault reporting alongside data processing. MAX 10 combines programmable I/O, on-chip flash and ADC options for selected monitoring and control functions, complementing a Cyclone V sensor path when the chosen device and system interfaces fit. Explore MAX 10 sensor monitoring and diagnostics
The complete system must deliver sensor information and status within its timing budget. Different sensor interfaces and rates affect capture, synchronization and host delivery, so deterministic FPGA control paths still need system-level latency validation rather than being treated as a guarantee of ADAS response time.
Verify the exact automotive-qualified orderable part, temperature grade, reliability and interface requirements for the ADAS design. Device qualification must be considered alongside the complete-system safety case, with sensor timing, throughput and external interfaces validated for the implemented architecture rather than inferred from the FPGA family name.