This follow-up study builds upon a prior publication investigating automotive exhaust aftertreatment systems, focusing on advancements made in response to avoiding early Diesel Particulate Filter (DPF) failure. This article is named “A driver-assist system for efficient DPF regeneration”. Through hardware updates and firmware modifications, the framework presented in the previous study has been refined to adapt to evolving vehicle data acquired from On-Board Diagnostics (OBD). In cases where specific DPF information remains inaccessible due to manufacturer constraints, the system integrates a further improved Fuzzy Logic algorithm to process alternative data sources. The updated system offers enhanced communication capabilities, delivering real-time insights into ongoing regenerations, DPF health status, and predictive analysis of regeneration cycles, informing the driver through an integrated Thin-Film-Transistor (TFT) display. Additional road tests were performed to validate the system performance, demonstrate significant improvements in preventing DPF obstructions and optimizing overall system efficiency. This follow-up research presents advancements in detecting ongoing regenerations more accurately, showcasing the successful integration of hardware and software updates to achieve the primary objective of prolonging DPF lifespan. The experimental tests conducted in real environment and presented enabled the validation of the system in terms of its operability and applicability.