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 …
Planning and decision-making for connected autonomous vehicles at road intersections: A review
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system
M Elsisi - Artificial intelligence review, 2022 - Springer
The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …
settling time, and overshoot is the main challenge against the steering angle control of …
Crash mitigation in motion planning for autonomous vehicles
A motion planning method for autonomous vehicles confronting emergency situations where
collision is inevitable, generating a path to mitigate the crash as much as possible, is …
collision is inevitable, generating a path to mitigate the crash as much as possible, is …
MPC-based cooperative control strategy of path planning and trajectory tracking for intelligent vehicles
In this paper, we propose a progressive model predictive control scheme (PMPCS) by
considering the cooperative control of local planning and path tracking for intelligent …
considering the cooperative control of local planning and path tracking for intelligent …
A survey of trajectory planning techniques for autonomous systems
This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …
Diffstack: A differentiable and modular control stack for autonomous vehicles
Autonomous vehicle (AV) stacks are typically built in a modular fashion, with explicit
components performing detection, tracking, prediction, planning, control, etc. While …
components performing detection, tracking, prediction, planning, control, etc. While …
Task-relevant failure detection for trajectory predictors in autonomous vehicles
In modern autonomy stacks, prediction modules are paramount to planning motions in the
presence of other mobile agents. However, failures in prediction modules can mislead the …
presence of other mobile agents. However, failures in prediction modules can mislead the …
Model predictive control for autonomous ground vehicles: a review
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
[HTML][HTML] Q-learning-based unmanned aerial vehicle path planning with dynamic obstacle avoidance
Recently, unmanned aerial vehicles (UAVs) have shown promising results for autonomous
sensing. UAVs have been deployed for multiple applications that include surveillance …
sensing. UAVs have been deployed for multiple applications that include surveillance …