Vehicle platooning systems: Review, classification and validation strategies

F Fakhfakh, M Tounsi, M Mosbah - International Journal of Networked and …, 2020 - Springer
This paper presents a systematic literature review of platooning systems with a special focus
on the strategies which have been adopted to validate platooning algorithms. We collect the …

Autonomous driving under V2X environment: state-of-the-art survey and challenges

X Yang, Y Shi, J Xing, Z Liu - Intelligent Transportation …, 2022 - academic.oup.com
Abstract As Vehicle-to-Anything (V2X) is viewed as emerging technology, which could
improve the mobility and efficiency of urban traffic operations, and enhance the safety of …

Rise: A velocity control framework with minimal impacts based on reinforcement learning

Y Xia, S Liu, X Chen, Z Xu, K Zheng, H Su - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Velocity control in autonomous driving is an emerging technology that has achieved rapid
progress over the last decade. However, existing velocity control models are developed in …

Stacking‐based ensemble learning method for the recognition of the preceding vehicle lane‐changing manoeuvre: A naturalistic driving study on the highway

H Zhang, Y Guo, C Wang, R Fu - IET Intelligent Transport …, 2022 - Wiley Online Library
The recognition of the preceding vehicle lane‐changing manoeuvre (LCM) is essential for
improving the rationality and safety of the decision‐making of driverless vehicles. However …

Development of an adaptive model predictive control for platooning safety in battery electric vehicles

A Capuano, M Spano, A Musa, G Toscano, DA Misul - Energies, 2021 - mdpi.com
The recent and continuous improvement in the transportation field provides several different
opportunities for enhancing safety and comfort in passenger vehicles. In this context …

[PDF][PDF] Development of a Bayesian Network for Situation-Aware Lane Change Prediction based on the highD Dataset

M Wellstein - 2021 - researchgate.net
Autonomous driving on highways can be dangerous because other vehicles may perform a
cut-in maneuver in front of the ego vehicle, which requires an immediate emergency …

Predicut-A Machine Learning Model For Online Prediction of Cut-In Manoeuvre For Autonomous Vehicles

P Sankaranarayanan, A Ramanujam… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
When a vehicle changes lane abruptly resulting in low headway distance to the vehicle
behind it, it may trigger emergency braking or it may result in a collision. Such events are …

Integrating Transformative Technologies in Indiana's Transportation Operations

J Walker, Y Li, MAC Li, S Chen, S Labi, JD Fricker… - 2023 - rosap.ntl.bts.gov
New and emerging transportation technologies, driven by automation, connectivity, and
electrification, could potentially help address the transportation sector's persistent and …

System and methods of integrating vehicle kinematics and dynamics for lateral control feature at autonomous driving

K Kim, A Singh, DR Arft - US Patent 11,891,059, 2024 - Google Patents
An apparatus includes at least one camera configured to capture an image of a traffic lane in
front of a vehicle. The apparatus also includes a path tracking controller configured to detect …

Prediction of target object's behavior based on world and image frames

K Kim, J Choi, M Sattiraju, D Uppalapati… - US Patent …, 2023 - Google Patents
A method includes obtaining sensor data associated with a target object at an ego vehicle,
where the sensor data includes image data within an image frame. The method also …