Formal Verification of Autonomous Vehicles: Bridging the Gap between Model-Based Design and Model Checking 2023-01-0116

Formal verification plays an important role in proving the safety of autonomous vehicles (AV). It is crucial to find errors in the AV system model to ensure safety critical features are not compromised. Model checking is a formal verification method which checks if the finite state machine (FSM) model meets system requirements. These requirements can be expressed as linear Temporal logic (LTL) formulae to describe a sequence of states with linear Temporal properties to be satisfied. NuSMV is a dedicated software for performing model checking based on Temporal logic formulae on FSM models. However, NuSMV does not provide model-based design. On the other hand, Stateflow in MATLAB/SIMULINK is a powerful tool for designing the model and offers an interactive Graphical User Interface (GUI) for the user/verifier but is not as efficient as NuSMV in model checking. Hence, model transformation becomes vital to convert the AV model in Stateflow to an input language of model checking software such as NuSMV. In this paper, we model an AV using Stateflow, which consists of cruise control, lane change/abortion, obstacle avoidance and gap maintenance blocks in the form of FSMs. We design an automatic verification tool to perform model transformation using a C compiler with NuSMV library included. Guard conditions are represented by Boolean expressions to capture the transition sequence between different blocks. LTL specifications of safety critical requirements are verified to guarantee the validity of the AV system design. When guard conditions fail, i.e., system requirements are not met, the verification tool will give a counterexample as the output. A case study is performed to show how this verification tool can help designers to make modifications based on the counterexamples to better meet the system requirements. We also perform a benchmark verification using the design verifier in SIMULINK to compare the performance. ¹