Reliable global path planning of off-road autonomous ground vehicles under uncertain terrain conditions
Path planning plays a vital role in ensuring the efficient and safe operation of off-road
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …
Efficient reliability-based path planning of off-road autonomous ground vehicles through the coupling of surrogate modeling and RRT
Reliability-based global path planning incorporates reliability constraints into path planning
to ensure that off-road autonomous ground vehicles can operate reliably in uncertain off …
to ensure that off-road autonomous ground vehicles can operate reliably in uncertain off …
Distributed stochastic model predictive control with Taguchi's robustness for vehicle platooning
Vehicle platooning for highway driving has many benefits, such as lowering fuel
consumption, improving traffic safety, and reducing traffic congestion. However, its …
consumption, improving traffic safety, and reducing traffic congestion. However, its …
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 …
real-time motion control of connected and automated vehicles (CAVs). Limited processing …
State-feedback switching linear parameter varying control for vehicle path following under uncertainty and external disturbances
This paper presents a novel state-feedback switching linear parameter varying (LPV) control
for automated vehicle path following under model uncertainty and external disturbances. A …
for automated vehicle path following under model uncertainty and external disturbances. A …
Cascade LPV control for automated vehicle trajectory tracking considering parametric uncertainty and varying velocity
Trajectory tracking control is very crucial for autonomous vehicles (AVs). However, its
performance can be degraded due to the time-varying velocities of AVs and their parametric …
performance can be degraded due to the time-varying velocities of AVs and their parametric …
Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach
Vehicle platooning has gained significant attention due to its potential to enhance road
safety and efficiency. Leveraging stochastic optimization methods, this paper presents a …
safety and efficiency. Leveraging stochastic optimization methods, this paper presents a …
Multi-AAV cooperative path planning using nonlinear model predictive control with localization constraints
A Manoharan, R Sharma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we solve a joint cooperative localization and path planning problem for a
group of Autonomous Aerial Vehicles (AAVs) in GPS-denied areas using nonlinear model …
group of Autonomous Aerial Vehicles (AAVs) in GPS-denied areas using nonlinear model …
Path Following Control of Automated Vehicle Considering Uncertainties and Disturbances with Parametric Varying
D Shen - arXiv preprint arXiv:2310.10925, 2023 - arxiv.org
Automated Vehicle Path Following Control (PFC) is an advanced control system that can
regulate the vehicle into a collision-free region in the presence of other objects on the road …
regulate the vehicle into a collision-free region in the presence of other objects on the road …
Path Following Control of Automated Vehicle Considering Model Uncertainties External Disturbances and Parametric Varying
D Shen - 2022 - hammer.purdue.edu
Automated Vehicle Path Following Control (PFC) is an advanced control system that can
regulate the vehicle into a collision-free region in the presence of other objects on the road …
regulate the vehicle into a collision-free region in the presence of other objects on the road …