Diagnostic Guides

Advanced Driver Assistance Systems (ADAS) represent the convergence of perception, decision-making, and control execution. These systems do not rely on a single sensor or ECU; they depend on coordinated interpretation of multiple data sources and precise actuator response. ADAS diagnostics therefore evaluate system coherence rather than isolated component functionality. ADAS as a Distributed Control System ADAS architectures distribute responsibility across perception modules

Modern vehicles operate as distributed computing systems. Dozens of ECUs exchange data continuously across multiple vehicle networks. Sensor readings, actuator commands, diagnostics messages, and safety signals depend on reliable data transport. Vehicle network diagnostics therefore focus on data integrity, timing consistency, and communication stability rather than individual component failure. Network-Centric Vehicle Design Vehicle electronic architecture has evolved from i

Modern vehicles rarely fail because a single component is broken. In many real-world cases, drivability issues arise when the ECU’s internal logic , learned parameters , or calibration state no longer align with the vehicle’s actual operating conditions . Understanding how control units adapt, store, and apply data is critical to accurate diagnostics. This pillar focuses on diagnosing issues where no hardware fault is present , yet vehicle behavior remains abnormal due to log

Actuators represent the execution layer of vehicle control systems. While sensors describe system state, actuators translate ECU decisions into physical action. Throttle movement, fuel delivery, braking force, steering assistance, airflow control, and thermal regulation all depend on actuator response accuracy. Actuator diagnostics therefore focus on whether commanded actions are executed correctly, consistently, and within expected time and force parameters. Actuators as Out

Modern vehicles rely on sensor data as the primary input for all control decisions. Engine management, braking systems, chassis control, driver assistance, and energy management systems interpret physical conditions exclusively through sensor signals. The accuracy of these signals determines whether control logic reflects reality or responds to distorted information. Sensor signal integrity diagnostics therefore focus on validating data quality rather than confirming componen