Verification and validation methods for decision-making and planning of automated vehicles: A review

Y Ma, C Sun, J Chen, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving

Y Tian, J Wang, Y Wang, C Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …

Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method

B Li, Y Ouyang, L Li, Y Zhang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …

Using online verification to prevent autonomous vehicles from causing accidents

C Pek, S Manzinger, M Koschi, M Althoff - Nature Machine Intelligence, 2020 - nature.com
Ensuring that autonomous vehicles do not cause accidents remains a challenge. We
present a formal verification technique for guaranteeing legal safety in arbitrary urban traffic …

Stochastic model predictive control with a safety guarantee for automated driving

T Brüdigam, M Olbrich, D Wollherr… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Automated vehicles require efficient and safe planning to maneuver in uncertain
environments. Largely this uncertainty is caused by other traffic participants, eg, surrounding …

Set-based prediction of traffic participants considering occlusions and traffic rules

M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

Receding-horizon reinforcement learning approach for kinodynamic motion planning of autonomous vehicles

X Zhang, Y Jiang, Y Lu, X Xu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Kinodynamic motion planning is critical for autonomous vehicles with high maneuverability
in dynamic environments. However, obtaining near-optimal motion planning solutions with …

Car-following behavior of human-driven vehicles in mixed-flow traffic: A driving simulator study

A Zhou, Y Liu, E Tenenboim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs) will
inevitably coexist on roads in the future, creating mixed-flow traffic. The heterogeneous car …

Specification-compliant driving corridors for motion planning of automated vehicles

EI Liu, M Althoff - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
It is crucial for automated vehicles to explicitly comply with specifications, including traffic
rules, to ensure their safe and effective participation in road traffic. Such compliance is also …

CommonRoad-CriMe: A toolbox for criticality measures of autonomous vehicles

Y Lin, M Althoff - 2023 IEEE Intelligent Vehicles Symposium (IV), 2023 - ieeexplore.ieee.org
Criticality measures are essential for autonomous vehicles to capture the complexity of the
surrounding environment, trigger emergency maneuvers, and verify safety. However, there …