Autonomous Vehicle Navigation : From Behavioral... -

The work proposes using ELCs for robust and reactive obstacle avoidance, which allows for stable, smooth trajectories.

The techniques are applied to unmanned ground vehicles (UGVs) or urban electric vehicles in dynamic environments. Autonomous vehicle navigation : from behavioral...

The navigation system's success is measured by its ability to reach a target safely (asymptotic stability) while maintaining a high level of flexibility in cluttered environments. The work proposes using ELCs for robust and

Developing reliable local controllers for specific tasks such as target reaching, smooth trajectory planning, and obstacle avoidance. which allows for stable

The system verifies the safety of decided maneuvers during navigation rather than trying to model every possible traffic scenario. 4. Implementation and Application

Ensuring the navigation system can handle moving obstacles by using real-time sensor data and predictive modeling. 3. Safety and Reliability