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 …

A survey of trajectory planning methods for autonomous driving—Part I: Unstructured scenarios

Y Guo, Z Guo, Y Wang, D Yao, B Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 survey of vehicle dynamics modeling methods for autonomous racing: Theoretical models, physical/virtual platforms, and perspectives

T Zhang, Y Sun, Y Wang, B Li, Y Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents the first survey of vehicle dynamics modeling methods for autonomous
racing. Previous surveys have covered dynamics models for standard autonomous vehicles …

Two-Layer MPC Architecture for Efficient Mixed-Integer-Informed Obstacle Avoidance in Real-Time

AL Gratzer, MM Broger, A Schirrer… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Safe and efficient obstacle avoidance in complex traffic situations is a major challenge for
real-time motion control of connected and automated vehicles (CAVs). Limited processing …

Safe and Efficient Trajectory Optimization for Autonomous Vehicles using B-spline with Incremental Path Flattening

J Choi, H Chin, H Park, D Kwon, S Lee… - arXiv preprint arXiv …, 2023 - arxiv.org
B-spline-based trajectory optimization has been widely used in the field of robot navigation,
as the convex hull property of the B-spline curve guarantees its dynamical feasibility with a …

A Convex Trajectory Planning Method for Autonomous Vehicles Considering Kinematic Feasibility and Bi-state Obstacles Avoidance Effectiveness

Y Wang, C Wei, S Li, J Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Trajectory Planning Module is a key component of the Autonomous Driving System
which is central to the realization and widespread use of Autonomous Vehicles. However, in …

[HTML][HTML] A Data-Driven Path-Tracking Model Based on Visual Perception Behavior Analysis and ANFIS Method

Z Hu, Y Yu, Z Yang, H Zhu, L Liu, Y Zhou - Electronics, 2023 - mdpi.com
This paper proposes a data-driven human-like driver model (HDM) based on the analysis
and understanding of human drivers' behavior in path-tracking tasks. The proposed model …

Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments

D Baek, S Kim, SW Seo, SH Lee - arXiv preprint arXiv:2403.01233, 2024 - arxiv.org
Autonomous vehicles have been actively investigated over the past few decades. Several
recent works show the potential of autonomous driving transportation services in urban …

Collision-Free Edge-Following Path Planner based on Adaptive Sampling Continuous Collision Detection

J Tang, X Chen, W Chen, S Zhou, X Li… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Outdoor robots often require exceptional edge-following (EF) mobility to perform tasks like
sweeping and delivering goods along borders. However, moving along the edge poses …