Qualcomm incorporated (20240192361). EARLY FUSION OF CAMERA AND RADAR FRAMES simplified abstract

EARLY FUSION OF CAMERA AND RADAR FRAMES

Organization Name

qualcomm incorporated

Inventor(s)

Radhika Dilip Gowaikar of San Diego CA (US)

Ravi Teja Sukhavasi of Fremont CA (US)

Daniel Hendricus Franciscus Dijkman of Haarlem (NL)

Bence Major of Amsterdam (NL)

Amin Ansari of Kirkland WA (US)

Teck Yian Lim of Urbana IL (US)

Sundar Subramanian of San Diego CA (US)

Xinzhou Wu of San Diego CA (US)

EARLY FUSION OF CAMERA AND RADAR FRAMES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240192361 titled 'EARLY FUSION OF CAMERA AND RADAR FRAMES

Simplified Explanation

The patent application describes a method for combining camera and radar frames to detect objects in different spatial domains.

• The on-board computer of a vehicle processes camera frames and radar frames to extract features.
• It converts the features to a common spatial domain and combines them to generate a concatenated feature map.

Key Features and Innovation

• Fusion of camera and radar frames for object detection.
• Feature extraction processes for camera and radar frames.
• Conversion to a common spatial domain.
• Concatenation of features to generate a concatenated feature map.

Potential Applications

This technology can be used in autonomous vehicles, surveillance systems, and traffic management for enhanced object detection capabilities.

Problems Solved

• Improved object detection accuracy.
• Integration of camera and radar data for comprehensive analysis.

Benefits

• Enhanced safety on the roads.
• Better decision-making for autonomous systems.
• Increased efficiency in object detection.

Commercial Applications

Title: Advanced Object Detection System for Autonomous Vehicles This technology can be commercialized for autonomous vehicle manufacturers, surveillance companies, and transportation authorities to improve object detection and enhance overall system performance.

Prior Art

Readers can explore prior research on sensor fusion techniques in autonomous vehicles and object detection systems to understand the evolution of this technology.

Frequently Updated Research

Researchers are continuously exploring new algorithms and methods to improve the fusion of camera and radar data for more accurate object detection in various environments.

Questions about Object Detection Fusion

How does the fusion of camera and radar frames improve object detection accuracy?

By combining data from both sensors, the system can leverage the strengths of each modality to enhance object detection performance in different environmental conditions.

What are the challenges in integrating camera and radar data for object detection?

Integrating data from different sensors requires sophisticated algorithms to align and process information effectively, ensuring accurate object detection results.

Original Abstract Submitted

disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. in an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.