A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory
Network slicing has been widely agreed as a promising technique to accommodate diverse
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …
A review of motion planning for highway autonomous driving
L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …
that they will sell their driving automation modes in the 2020s. This technology raises …
Autonomous driving motion planning with constrained iterative LQR
Motion planning is a core technique for autonomous driving. Nowadays, there still exists a
lot of challenges in motion planning for autonomous driving in complicated environments …
lot of challenges in motion planning for autonomous driving in complicated environments …
Safe-state enhancement method for autonomous driving via direct hierarchical reinforcement learning
Reinforcement learning (RL) has shown excellent performance in the sequential decision-
making problem, where safety in the form of state constraints is of great significance in the …
making problem, where safety in the form of state constraints is of great significance in the …
Hybrid trajectory planning for autonomous driving in highly constrained environments
Y Zhang, H Chen, SL Waslander, J Gong… - IEEE …, 2018 - ieeexplore.ieee.org
In this paper, we introduce a novel and efficient hybrid trajectory planning method for
autonomous driving in highly constrained environments. The contributions of this paper are …
autonomous driving in highly constrained environments. The contributions of this paper are …
Constrained iterative lqr for on-road autonomous driving motion planning
There exist a lot of challenges in trajectory planning for autonomous driving: 1) Needs of
both spatial and temporal planning for highly dynamic environments; 2) Nonlinear vehicle …
both spatial and temporal planning for highly dynamic environments; 2) Nonlinear vehicle …
Speed profile planning in dynamic environments via temporal optimization
To generate safe and efficient trajectories for an automated vehicle in dynamic
environments, a layered approach is usually considered, which separates path planning …
environments, a layered approach is usually considered, which separates path planning …
Spatio-temporal motion planning for autonomous vehicles with trapezoidal prism corridors and Bézier curves
Safety-guaranteed motion planning is critical for self-driving cars to generate collision-free
trajectories. A layered motion planning approach with decoupled path and speed planning …
trajectories. A layered motion planning approach with decoupled path and speed planning …
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models
Motion planners are essential for the safe operation of automated vehicles across various
scenarios. However, no motion planning algorithm has achieved perfection in the literature …
scenarios. However, no motion planning algorithm has achieved perfection in the literature …
Design of a tracking controller for autonomous articulated heavy vehicles using a nonlinear model predictive control technique
T Sharma, Y He - … of the Institution of Mechanical Engineers …, 2024 - journals.sagepub.com
This article proposes a design of a tracking controller for autonomous articulated heavy
vehicles (AAHVs) using a nonlinear model predictive control (NLMPC) technique. Despite …
vehicles (AAHVs) using a nonlinear model predictive control (NLMPC) technique. Despite …