The techniques are applied to unmanned ground vehicles (UGVs) or urban electric vehicles in dynamic environments.
Creating mechanisms to manage the interaction and switching between these controllers to enhance safety, flexibility, and reliability. Autonomous vehicle navigation : from behavioral...
Traditional reactive navigation systems (like potential fields) work well for simple obstacle avoidance but fail in cluttered or complex dynamic environments, often leading to local minima (trapping the vehicle). The techniques are applied to unmanned ground vehicles
The proposed architectures are validated through MATLAB/Simulink simulation and experiments. Autonomous vehicle navigation : from behavioral...