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Found 6 papers, 0 papers with code
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
The upper layer is called Speed Planner, and is a centralized optimal control algorithm.
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security
Even though image maps may contribute slightly to the prediction output of both models, this result reveals that rather than being robust to adversarial image perturbations, trajectory predictors are susceptible to image attacks.
Multi-Adversarial Safety Analysis for Autonomous Vehicles
This work in progress considers reachability-based safety analysis in the domain of autonomous driving in multi-agent systems.
Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results
The FollowerStopper controller has been demonstrated to dampen stop-and-go traffic waves at low speed, but previous analysis on its relative safety has been limited to upper and lower bounds of acceleration.
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems.
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability
However, work to learn and update safety analysis is limited to small systems of about two dimensions due to the computational complexity of the analysis.
