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Found 8 papers, 3 papers with code
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
Unfortunately, both performance and solution feasibility can be significantly impacted by two key factors: (i) the selection of the cost function and associated parameters, and (ii) the calibration of parameters within the CBF-based constraints, which capture the trade-off between performance and conservativeness.
Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions
We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to safely navigate through a conflict area (e. g., traffic intersections, merging roadways, roundabouts).
Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles
We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to navigate through a conflict area.
Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control
We address the problem of merging traffic from two roadways consisting of both Connected Autonomous Vehicles (CAVs) and Human Driven Vehicles (HDVs).
Optimal Merging Control of an Autonomous Vehicle in Mixed Traffic: an Optimal Index Policy
We derive an optimal index policy which prescribes the merging position of the AV within the group of HDVs.
Optimal Control of Connected Automated Vehicles with Event/Self-Triggered Control Barrier Functions
We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints.
Self-Triggered Coordination Control of Connected Automated Vehicles in Traffic Networks
The safety constraints and the vehicle limitations are considered using the Control Barrier Function (CBF) framework and a self-triggered scheme is proposed using the CBF constraints.
Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions
We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints.
