Ensuring the navigation system can handle moving obstacles by using real-time sensor data and predictive modeling. 3. Safety and Reliability
The work proposes using ELCs for robust and reactive obstacle avoidance, which allows for stable, smooth trajectories. Autonomous vehicle navigation : from behavioral...
The techniques are applied to unmanned ground vehicles (UGVs) or urban electric vehicles in dynamic environments. Ensuring the navigation system can handle moving obstacles
The proposed architectures are validated through MATLAB/Simulink simulation and experiments. The techniques are applied to unmanned ground vehicles
Creating mechanisms to manage the interaction and switching between these controllers to enhance safety, flexibility, and reliability.
This approach combines the speed of reactive, behavior-based systems (e.g., "avoid obstacle," "follow lane") with a high-level strategic planner. This hybrid approach ensures the vehicle can manage complex scenarios by switching between or combining elementary controllers based on the environment. 2. Key Components of Navigation