Object detection and detection confidence suitable for autonomous driving
T Koivisto, P Janis, T Kuosmanen, T Roman… - US Patent …, 2021 - Google Patents
In various examples, detected object data representative of locations of detected objects in a
field of view may be determined. One or more clusters of the detected objects may be …
field of view may be determined. One or more clusters of the detected objects may be …
Real-time detection of lanes and boundaries by autonomous vehicles
Y Xu, X Liu, CC Chen, C Parada, D Onofrio… - US Patent …, 2021 - Google Patents
In various examples, sensor data representative of an image of a field of view of a vehicle
sensor may be received and the sensor data may be applied to a machine learning model …
sensor may be received and the sensor data may be applied to a machine learning model …
Training, testing, and verifying autonomous machines using simulated environments
C Farabet, J Zedlewski, Z Taylor, G Heinrich… - US Patent …, 2022 - Google Patents
In various examples, physical sensor data may be generated by a vehicle in a real-world
environment. The physical sensor data may be used to train deep neural networks (DNNs) …
environment. The physical sensor data may be used to train deep neural networks (DNNs) …
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 …
Future object trajectory predictions for autonomous machine applications
2019-09-24 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 …
Learning to generate synthetic datasets for training neural networks
2020-03-26 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 …
Distance estimation to objects and free-space boundaries in autonomous machine applications
J Kwon, Y Yilin, BSS Jujjavarapu, Z Ye, S Oh… - US Patent …, 2021 - Google Patents
In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …
Method of outputting prediction result using neural network, method of generating neural network, and apparatus therefor
D Oh, CH Jang, JI Dae-Hyun - US Patent 11,681,921, 2023 - Google Patents
US11681921B2 - Method of outputting prediction result using neural network, method of
generating neural network, and apparatus therefor - Google Patents US11681921B2 - Method …
generating neural network, and apparatus therefor - Google Patents US11681921B2 - Method …
Learning method and learning device, and testing method and testing device for detecting parking spaces by using point regression results and relationship between …
(57) ABSTRACT A learning method for detecting unoccupied parking spaces by using
probability distributions on decision points of the unoccupied parking spaces and relational …
probability distributions on decision points of the unoccupied parking spaces and relational …
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 …