Vehicle platooning systems: Review, classification and validation strategies
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 …
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
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 …
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
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 …
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 …
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
The recent and continuous improvement in the transportation field provides several different
opportunities for enhancing safety and comfort in passenger vehicles. In this context …
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 …
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 …
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
New and emerging transportation technologies, driven by automation, connectivity, and
electrification, could potentially help address the transportation sector's persistent 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 …
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 …
where the sensor data includes image data within an image frame. The method also …