Motion planning for autonomous driving: The state of the art and future perspectives

S Teng, X Hu, P Deng, B Li, Y Li, Y Ai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

Pavement defect detection with deep learning: A comprehensive survey

L Fan, D Wang, J Wang, Y Li, Y Cao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion

S Teng, L Li, Y Li, X Hu, L Li, Y Ai, L Chen - Mechanical Systems and Signal …, 2024 - Elsevier
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …

Drivellm: Charting the path toward full autonomous driving with large language models

Y Cui, S Huang, J Zhong, Z Liu, Y Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Human drivers instinctively reason with commonsense knowledge to predict hazards in
unfamiliar scenarios and to understand the intentions of other road users. However, this …

Identifying critical test scenarios for lane keeping assistance system using analytic hierarchy process and hierarchical clustering

R Song, X Li, X Zhao, M Liu, J Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lane keeping assistance system (LKAS) is critical components of autonomous driving
technologies, and their reliable operation is crucial to ensure passenger safety and maintain …

Scenario engineering for autonomous transportation: A new stage in open-pit mines

S Teng, X Li, Y Li, L Li, Z Xuanyuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, open-pit mining has seen significant advancement, the cooperative
operation of various specialized machinery substantially enhancing the efficiency of mineral …

The road ahead: DAO-secured V2X infrastructures for safe and smart vehicular management

X Dai, M Vallati, R Guo, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) technology relies on wireless communication and coordination,
aiming to improve road safety and traffic efficiency by orchestrating the interaction among …

Online competition of trajectory planning for automated parking: Benchmarks, achievements, learned lessons, and future perspectives

B Li, L Fan, Y Ouyang, S Tang, X Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Automated parking is a typical function in a self-driving car. The trajectory planning module
directly reflects the intelligence level of an automated parking system. Although many …

Design and practical implementation of a high efficiency two-layer trajectory planning method for AGV

R Zhang, R Chai, S Chai, Y Xia… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
This article proposes a two-layer trajectory optimization method for the autonomous ground
vehicle. This two-layer strategy includes an efficient path planning layer and a fast trajectory …

Adaptive pure pursuit: A real-time path planner using tracking controllers to plan safe and kinematically feasible paths

B Li, Y Wang, S Ma, X Bian, H Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …