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
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). Autonomous vehicle navigation : from behavioral...
The work proposes using ELCs for robust and reactive obstacle avoidance, which allows for stable, smooth trajectories. This approach combines the speed of reactive, behavior-based
The system verifies the safety of decided maneuvers during navigation rather than trying to model every possible traffic scenario. 4. Implementation and Application which allows for stable
The core focus is to guarantee safety by allowing the system to re-plan and evade dangerous situations instantly.
