A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
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 …
Path planning for autonomous vehicles using model predictive control
Path planning for autonomous vehicles in dynamic environments is an important but
challenging problem, due to the constraints of vehicle dynamics and existence of …
challenging problem, due to the constraints of vehicle dynamics and existence of …
Global and local path planning study in a ROS‐based research platform for autonomous vehicles
The aim of this work is to integrate and analyze the performance of a path planning method
based on Time Elastic Bands (TEB) in real research platform based on Ackermann model …
based on Time Elastic Bands (TEB) in real research platform based on Ackermann model …
Intelligent and connected vehicles: Current status and future perspectives
Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …
by making the transportation safer, cleaner and more comfortable. Although many …
Toward performing image classification and object detection with convolutional neural networks in autonomous driving systems: A survey
T Turay, T Vladimirova - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …
industrial technologies for a variety of sectors, such as medical, automotive, aviation …
[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 …
An improved DQN path planning algorithm
J Li, Y Chen, XN Zhao, J Huang - The Journal of Supercomputing, 2022 - Springer
Aiming at the problem of vehicle model tracking error and overdependence in traditional
path planning of intelligent driving vehicles, a path planning method of intelligent driving …
path planning of intelligent driving vehicles, a path planning method of intelligent driving …