Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
HiVeGPT: Human-machine-augmented intelligent vehicles with generative pre-trained transformer
Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention
in the academies and industries because of its powerful conversational ability with human …
in the academies and industries because of its powerful conversational ability with human …
Integrated inertial-LiDAR-based map matching localization for varying environments
Localization is critical for automated vehicles as it provides essential position, velocity, and
heading angle information to perform object tracking, trajectory prediction, motion planning …
heading angle information to perform object tracking, trajectory prediction, motion planning …
Pavement Defect Detection with Deep Learning: A Comprehensive Survey
Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …
trending research topic. In the past years, deep learning based methods have turned into a …
Hierarchical trajectory planning for narrow-space automated parking with deep reinforcement learning: A federated learning scheme
Collision-free trajectory planning in narrow spaces has become one of the most challenging
tasks in automated parking scenarios. Previous optimization-based approaches can …
tasks in automated parking scenarios. Previous optimization-based approaches can …
Toward fair and thrilling autonomous racing: Governance rules and performance metrics for autonomous one
This letter is the second report from a series of IEEE TIV's Decentralized and Hybrid
Workshops (DHWs) on Intelligent Vehicles for Education (IV4E). It outlines the prospect of …
Workshops (DHWs) on Intelligent Vehicles for Education (IV4E). It outlines the prospect of …
Adaptive pure pursuit: A real-time path planner using tracking controllers to plan safe and kinematically feasible paths
Path planning is an essential function in an intelligent vehicle, especially when driving in
scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle …
scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle …
Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives
H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …
Path planning for autonomous driving: The state of the art and perspectives
Intelligent vehicles (IVs) have attracted wide attention thanks to the augmented
convenience, safety advantages, and potential commercial value. Although a few of …
convenience, safety advantages, and potential commercial value. Although a few of …
A Survey of Trajectory Planning Methods for Autonomous Driving—Part I: Unstructured Scenarios
Trajectory planning is a critical function in an autonomous vehicle, which is about generating
a local spatio-temporal curve with safety, traverse efficiency, and comfort factors considered …
a local spatio-temporal curve with safety, traverse efficiency, and comfort factors considered …