Nvidia corporation (20240176018). SENSOR FUSION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS simplified abstract

SENSOR FUSION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

Organization Name

nvidia corporation

Inventor(s)

David Weikersdorfer of Mountain View CA (US)

Qian Lin of Berkeley CA (US)

Aman Jhunjhunwala of Toronto (CA)

Emilie Lucie Eloïse Wirbel of Nogent-su-Marne (FR)

Sangmin Oh of San Jose CA (US)

Minwoo Park of Saratoga CA (US)

Gyeong Woo Cheon of San Jose CA (US)

Arthur Henry Rajala of Greenville OH (US)

Bor-Jeng Chen of San Jose CA (US)

SENSOR FUSION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240176018 titled 'SENSOR FUSION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

Simplified Explanation

The abstract describes techniques for sensor-fusion based object detection and free-space detection using ultrasonic sensors. Systems process sensor data to generate input data representing object locations, inputting this data into neural networks to output maps associated with the environment.

• Ultrasonic sensors are used for object detection and free-space detection.
• Sensor data is processed to generate input data representing object locations.
• Neural networks are trained to output maps or other representations of the environment, such as height and occupancy maps.
• The machine uses these outputs to perform operations.

Potential Applications

This technology could be applied in autonomous vehicles for obstacle detection and navigation, as well as in robotics for object avoidance and mapping.

Problems Solved

This technology helps in accurately detecting objects and free spaces in an environment, improving safety and efficiency in various applications.

Benefits

The benefits of this technology include enhanced object detection capabilities, improved navigation, and increased safety in dynamic environments.

Potential Commercial Applications

Potential commercial applications of this technology include autonomous vehicles, robotics, industrial automation, and smart infrastructure development.

Possible Prior Art

One possible prior art could be the use of lidar sensors for object detection and mapping in autonomous vehicles and robotics.

How does this technology compare to other sensor fusion techniques for object detection and free-space detection?

This article does not provide a comparison with other sensor fusion techniques, leaving the reader to wonder about the specific advantages and limitations of this approach compared to alternatives.

What are the specific training methods used for the neural networks in this system?

The article does not delve into the specific training methods employed for the neural networks, leaving the reader curious about the details of the training process and its impact on the system's performance.

Original Abstract Submitted

in various examples, techniques for sensor-fusion based object detection and/or free-space detection using ultrasonic sensors are described. systems may receive sensor data generated using one or more types of sensors of a machine. in some examples, the systems may then process at least a portion of the sensor data to generate input data, where the input data represents one or more locations of one or more objects within an environment. the systems may then input at least a portion of the sensor data and/or at least a portion of the input data into one or more neural networks that are trained to output one or more maps or other output representations associated with the environment. in some examples, the map(s) may include a height, an occupancy, and/or height/occupancy map generated, e.g., from a birds-eye-view perspective. the machine may use these outputs to perform one or more operations