A survey on theories and applications for self-driving cars based on deep learning methods
J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …
influence on social and economic development. Deep learning is one of the current key …
Vision-based autonomous vehicle systems based on deep learning: A systematic literature review
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …
rate, particularly due to improvements in artificial intelligence, which have had a significant …
Lane detection and classification using cascaded CNNs
Lane detection is extremely important for autonomous vehicles. For this reason, many
approaches use lane boundary information to locate the vehicle inside the street, or to …
approaches use lane boundary information to locate the vehicle inside the street, or to …
Determining drivable free-space for autonomous vehicles
In various examples, sensor data may be received that represents a field of view of a sensor
of a vehicle located in a physical environment. The sensor data may be applied to a …
of a vehicle located in a physical environment. The sensor data may be applied to a …
Regression-based line detection for autonomous driving machines
M Park, X Lin, HJ Seo, D Nister, N Cvijetic - US Patent 11,604,944, 2023 - Google Patents
US11604944B2 - Regression-based line detection for autonomous driving machines - Google
Patents US11604944B2 - Regression-based line detection for autonomous driving machines …
Patents US11604944B2 - Regression-based line detection for autonomous driving machines …
Flexible lane detection using CNNs
L Haixia, L Xizhou - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
To discuss the lane detection have a significant meaning in the autonomous driving
research field, particularly, the research direction of path planning. At this stage, to achieve …
research field, particularly, the research direction of path planning. At this stage, to achieve …
Towards extreme learning machine framework for lane detection on unmanned mobile robot
Y Dai, J Li, J Wang, J Li, X Liu - Assembly Automation, 2022 - emerald.com
Purpose This paper aims to focus on lane detection of unmanned mobile robots. For the
mobile robot, it is undesirable to spend lots of time detecting the lane. So quickly detecting …
mobile robot, it is undesirable to spend lots of time detecting the lane. So quickly detecting …
[PDF][PDF] Deep Learning Control for Autonomous Robot.
Several applications of machine learning and artificial intelligence, have acquired
importance and come to the fore as a result of recent advances and improvements in these …
importance and come to the fore as a result of recent advances and improvements in these …
Intersection detection and classification in autonomous machine applications
SMS Mohammadabadi, BR Hervas, H Dou… - US Patent …, 2023 - Google Patents
2020-04-30 Assigned to NVIDIA CORPORATION reassignment NVIDIA CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Recent advances in vision-based lane detection solutions for automotive applications
In recent years, autonomous vehicles have become increasingly popular. Different
Advanced Driver Assistance Systems (ADAS) are implemented in today's vehicles and one …
Advanced Driver Assistance Systems (ADAS) are implemented in today's vehicles and one …