Results 291 to 300 of about 4,796,198 (343)

A Human-Like Trajectory Planning Method on a Curve Based on the Driver Preview Mechanism

IEEE transactions on intelligent transportation systems (Print), 2023
With the development of intelligent vehicle technology, many studies have been focused on developing human-like trajectory planning methods for automated driving systems.
Jian Zhao, Dongjian Song, Bing Zhu, Zhuo Sun, Jiayi Han, Yuhang Sun   +5 more
semanticscholar   +1 more source

An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments

IEEE transactions on intelligent transportation systems (Print), 2023
For automated driving vehicles, trajectory planning is responsible for obtaining feasible trajectories with velocity profiles according to driving environments.
Tianqi Qie, Weida Wang, Chaowei Yang, Ying Li, Yuhang Zhang, Wenjie Liu, C. Xiang   +6 more
semanticscholar   +1 more source

Computation of Solution Spaces for Optimization-Based Trajectory Planning

IEEE Transactions on Intelligent Vehicles, 2023
The nonlinear vehicle dynamics and the non-convexity of collision avoidance constraints pose major challenges for optimization-based trajectory planning of automated vehicles.
Lukas Schäfer, Stefanie Manzinger, M. Althoff   +2 more
semanticscholar   +1 more source

Time-Polynomial-Based Optimal Trajectory Planning for Double-Pendulum Tower Crane With Full-State Constraints and Obstacle Avoidance

IEEE/ASME transactions on mechatronics, 2023
Double-pendulum dynamics increase the difficulty of the control for the tower cranes. Especially, it would be a greater challenge with obstacle avoidance while satisfying full-states constraints.
Gang Li, Xin Ma, Zhi Li, Yibin Li
semanticscholar   +1 more source

Adaptive Lane Change Trajectory Planning Scheme for Autonomous Vehicles Under Various Road Frictions and Vehicle Speeds

IEEE Transactions on Intelligent Vehicles, 2023
This paper proposes an adaptive lane change trajectory planning scheme to road friction and vehicle speed for autonomous driving, while considering both the maneuver safety and the comfort of occupants. In regard to achieve smooth trajectory, a 7th-order
Juqi Hu, Youmin Zhang, S. Rakheja
semanticscholar   +1 more source

UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation

IEEE Internet of Things Journal, 2021
The sixth-generation (6G) communication requires supporting massive Internet of Things (IoT) devices and extremely differentiated IoT applications for the air–space–ground integrated network.
Zhenyu Na, Yue Liu, Jingcheng Shi, Chungang Liu, Zihe Gao   +4 more
semanticscholar   +1 more source

Trajectory Planning in Robotics

Mathematics in Computer Science, 2012
Trajectory planning is a fundamental issue for robotic applications and automation in general. The ability to generate trajectories with given features is a key point to ensure significant results in terms of quality and ease of performing the required motion, especially at the high operating speeds necessary in many applications.
GASPARETTO, Alessandro, BOSCARIOL, Paolo, Lanzutti A, Vidoni R.   +3 more
openaire   +2 more sources

Combining Decision Making and Trajectory Planning for Lane Changing Using Deep Reinforcement Learning

IEEE transactions on intelligent transportation systems (Print), 2022
In the context of Automated Vehicles, the Automated Lane Change system, is fundamentally based upon the separate constructs of Perception, Decision making, Trajectory Planning, and Execution.
Shurong Li, Chong Wei, Ying Wang
semanticscholar   +1 more source

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving

IEEE Transactions on Vehicular Technology, 2021
With the aims of safe, smart and sustainable future mobility, a personalized approach of trajectory planning and control based on user preferences is developed for lane-change of autonomous vehicles in this paper.
Chao Huang, Hailong Huang, Peng Hang, Hongbo Gao, Jingda Wu, Zhiyu Huang, Chen Lv   +6 more
semanticscholar   +1 more source

Local Learning Enabled Iterative Linear Quadratic Regulator for Constrained Trajectory Planning

IEEE Transactions on Neural Networks and Learning Systems, 2022
Trajectory planning is one of the indispensable and critical components in robotics and autonomous systems. As an efficient indirect method to deal with the nonlinear system dynamics in trajectory planning tasks over the unconstrained state and control ...
Jun Ma, Zilong Cheng, Xiaoxue Zhang, Ziyu Lin, F. Lewis, Tong-heng Lee   +5 more
semanticscholar   +1 more source