Baidu USA LLC (20240241261). FLEXIBLE LIDAR CAMERA SYNCHRONIZATION FOR DRIVERLESS VEHICLE simplified abstract
Contents
FLEXIBLE LIDAR CAMERA SYNCHRONIZATION FOR DRIVERLESS VEHICLE
Organization Name
Inventor(s)
Manjiang Zhang of Sunnyvale CA (US)
FLEXIBLE LIDAR CAMERA SYNCHRONIZATION FOR DRIVERLESS VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240241261 titled 'FLEXIBLE LIDAR CAMERA SYNCHRONIZATION FOR DRIVERLESS VEHICLE
The computing device of an autonomous driving vehicle is designed to control signals for a lidar sensor and a camera, process their outputs, and adjust the signals based on detected features.
- The computing device determines control signals for a lidar sensor and a camera of the autonomous driving vehicle.
- It processes the lidar output and camera output to detect features.
- Based on the detected features, the computing device adjusts the control signals for the lidar sensor or the camera.
Potential Applications: - Autonomous driving systems - Robotics - Surveillance systems
Problems Solved: - Enhancing the accuracy of lidar and camera data processing - Improving the performance of autonomous driving vehicles
Benefits: - Increased safety on the roads - Enhanced efficiency in data processing for autonomous vehicles
Commercial Applications: Title: Advanced Control System for Autonomous Vehicles This technology can be used in the development of advanced autonomous driving systems for commercial vehicles, leading to safer and more efficient transportation solutions. The market implications include increased demand for autonomous vehicle technology in various industries.
Questions about the technology: 1. How does this technology improve the accuracy of data processing in autonomous vehicles? - This technology enhances the accuracy by adjusting control signals based on detected features from lidar and camera outputs. 2. What are the potential applications of this advanced control system beyond autonomous driving vehicles? - The technology can also be applied in robotics and surveillance systems for improved data processing and feature detection.
Original Abstract Submitted
in one aspect, a computing device of an autonomous driving vehicle (adv) is configured to determine a first control signal for a light detection and ranging (lidar) sensor of the adv and a second control signal for a camera of the adv, provide the first control signal to the lidar sensor and the second control signal to the camera, and process lidar output of the lidar sensor and camera output of the camera to detect one or more features of the lidar output or camera output. in response to detecting the one or more features, the computing device is to adjust the first control signal or the second control signal.
