[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …
centerline changes drastically. This paper is focused on the trajectory planning task for …
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning
Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …
methods to address these problems are time-consuming and not adaptive to changing …
Optimization-based trajectory planning for autonomous parking with irregularly placed obstacles: A lightweight iterative framework
This paper is focused on planning fast, accurate, and optimal trajectories for autonomous
parking. Nominally, this task should be described as an optimal control problem (OCP) …
parking. Nominally, this task should be described as an optimal control problem (OCP) …
A multi-vehicle game-theoretic framework for decision making and planning of autonomous vehicles in mixed traffic
To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
Optimal lane-changing trajectory planning for autonomous vehicles considering energy consumption
The emerging autonomous vehicles (AVs) technologies provide a new opportunity to design
a better lane-changing trajectory to reduce traffic congestion. The existing research on lane …
a better lane-changing trajectory to reduce traffic congestion. The existing research on lane …
Adaptive potential field-based path planning for complex autonomous driving scenarios
An adaptive potential field is designed to adapt the acceleration/deceleration and mass of
the obstacle. The potential fields are established in a transformed road coordinate system to …
the obstacle. The potential fields are established in a transformed road coordinate system to …
An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments
As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …
significant attention from both academia and industry. This paper focuses on efficient and …
Personalized motion planning and tracking control for autonomous vehicles obstacle avoidance
X Zhang, W Zhang, Y Zhao, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A personalized motion planning and tracking control framework is proposed to prevent
collisions between autonomous vehicles and obstacles ahead. The presented framework …
collisions between autonomous vehicles and obstacles ahead. The presented framework …
Vehicle trajectory prediction using hierarchical graph neural network for considering interaction among multimodal maneuvers
E Jo, M Sunwoo, M Lee - Sensors, 2021 - mdpi.com
Predicting the trajectories of surrounding vehicles by considering their interactions is an
essential ability for the functioning of autonomous vehicles. The subsequent movement of a …
essential ability for the functioning of autonomous vehicles. The subsequent movement of a …