New control model for autonomous vehicles using integration of ...

In this paper, a robust control method is introduced for autonomous vehicle control in different scenarios. Dual controllers have been used ...

(PDF) New control model for autonomous vehicles using integration ...

This controller has shown high performance and flexibility to deal with different scenarios of autonomous driving. The results are compared to ...

Park, M., Lee, S. & Han, W. Development of steering control system for autonomous vehicle using geometry-based path tracking algorithm. ETRI J. 37(3), 617 ...

A Robust Hybrid Control Model Implementation for Autonomous ...

Abstract: This work presents a robust control strategy for controlling autonomous vehicles under various conditions. This approach makes use of two ...

Integrating Autonomous Vehicles (AVs) into Urban Traffic - MDPI

As this study aims to assess the impact of aggressive autonomous vehicles (AVs) at urban signalized intersections, the Wiedemann 1999 car-following model is ...

Design of Integrated Autonomous Driving Control System That ...

The AD controller implements longitudinal/lateral path tracking using proportional-integral(PI) control and adaptive model predictive control. The chassis ...

Interaction-Aware Trajectory Planning for Autonomous Vehicles with ...

Title:Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control.

Trajectory Tracking for Autonomous Vehicles Using Robust Model ...

This paper proposes a novel trajectory tracking control method using a robust model predictive control (RMPC) design technique based on matrix inequality.

Longitudinal Control of Automated Vehicles: A Novel Approach by ...

Longitudinal Control of Automated Vehicles: A Novel Approach by Integrating Deep Reinforcement Learning With Intelligent Driver Model.

How will autonomous vehicles shape future urban mobility?

We advocate for integrating AVs with public transport to create a synergistic AV-PT deployment model. Public transport should remain the ...

Dynamic Control System Design for Autonomous Car

In this work, we have proposed a vehicle dynam- ics model that plays an integral role in the execution ... Path planning for autonomous vehicles using model.

Deep Reinforcement Learning in Autonomous Car Path Planning ...

Combining data-driven applications with control systems plays a key role in recent Autonomous Car research. This thesis offers a structured review of the latest ...

Autonomous Vehicles Enabled by the Integration of IoT, Edge ...

Intelligent transportation systems (ITSs) are systems that use various automation technologies, computers, controls, and communication to enhance the safety and ...

Lateral control of an autonomous vehicle using integrated ...

In this paper, a novel Lyapunov-based robust controller by using meta-heuristic optimization algorithm has been proposed for lateral control of an autonomous ...

Internal Model-Based Robust Path-Following Control for ...

The paper presents a new internal model control (IMC) based control technique for lateral trajectory tracking of autonomous vehicles.

Self-Driving Car Technology for a Reliable Ride - Waymo Driver

This helps the Waymo Driver accurately track its motion along the road. These two systems cross-check each other and assume control from one another if a fault ...

New Technique Controls Autonomous Vehicles in Extreme Conditions

The Georgia Tech method – known as model predictive path integral control (MPPI) – was developed specifically to address the non-linear ...

Advancing autonomous vehicle control systems: An in‐depth ...

RSS is widely used to control swerve manoeuvres for autonomous driving. The authors in [14] propose a feasible solution using RSS to swerve ...

Lane keeping in autonomous driving with Model Predictive Control ...

In this article, we discuss the control of the vehicle's acceleration, brake, and steering with Model Predictive Control (MPC) using a kinematic bicycle model.

Need Advice for Control Theory Applications in Autonomous Driving

One potential area for research in AD control algorithms is the integration of control theory with machine learning and artificial intelligence ...