Steering Action-aware Adaptive Cruise Control for Teleoperated Driving

08/18/2022
by   Andreas Schimpe, et al.
0

In this paper, a steering action-aware Adaptive Cruise Control (ACC) approach for teleoperated road vehicles is proposed. In order to keep the vehicle in a safe state, the ACC approach can override the human operator's velocity control commands. The safe state is defined as a state from which the vehicle can be stopped safely, no matter which steering actions are applied by the operator. This is achieved by first sampling various potential future trajectories. In a second stage, assuming the trajectory with the highest risk, a safe and comfortable velocity profile is optimized. This yields a safe velocity control command for the vehicle. In simulations, the characteristics of the approach are compared to a Model Predictive Control-based approach that is capable of overriding both, the commanded steering angle as well as the velocity. Furthermore, in teleoperation experiments with a 1:10-scale vehicle testbed, it is demonstrated that the proposed ACC approach keeps the vehicle safe, even if the control commands from the operator would have resulted in a collision.

READ FULL TEXT
research
03/02/2020

Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle

In order for autonomous vehicles to become a part of the Intelligent Tra...
research
06/14/2023

A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)

Perceived risk is crucial in designing trustworthy and acceptable vehicl...
research
03/22/2019

Axonal Conduction Velocity Impacts Neuronal Network Oscillations

Increasing experimental evidence suggests that axonal action potential c...
research
06/12/2023

Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles

Making safe and successful lane changes (LCs) is one of the many vitally...
research
01/14/2023

Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction

To make safe transitions from autonomous to manual control, a vehicle mu...
research
05/29/2022

Input-to-State Safety with Input Delay in Longitudinal Vehicle Control

Safe longitudinal control is discussed for a connected automated truck t...

Please sign up or login with your details

Forgot password? Click here to reset