Nvidia corporation (20240116538). LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS simplified abstract
Contents
- 1 LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.9.1 Unanswered Questions
- 1.9.2 How does the system handle sudden changes in the environment that may affect the selected longitudinal speed profile for a lane change maneuver?
- 1.9.3 What measures are in place to ensure the accuracy and reliability of the sensor data used for generating the environment representation?
- 1.10 Original Abstract Submitted
LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS
Organization Name
Inventor(s)
Zhenyi Zhang of Los Altos CA (US)
Yizhou Wang of San Jose CA (US)
David Nister of Bellevue WA (US)
Neda Cvijetic of East Palo Alto CA (US)
LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240116538 titled 'LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS
Simplified Explanation
The patent application describes a system that uses sensor data from an ego-vehicle to generate a representation of the surrounding environment, including lanes and object locations. This representation is then used as input for identifying longitudinal speed profiles and executing lane change maneuvers.
- Sensor data from ego-vehicle used to create representation of environment
- Representation includes lanes and object locations
- Longitudinal speed profiles identified based on criteria evaluation
- Lane change maneuvers executed based on selected speed profiles
Potential Applications
The technology can be applied in autonomous vehicles, advanced driver assistance systems, and traffic management systems.
Problems Solved
The system helps in improving lane change maneuvers, enhancing safety, and optimizing traffic flow.
Benefits
Benefits include increased efficiency in lane changes, improved safety on the road, and better traffic management.
Potential Commercial Applications
Commercial applications include integration into autonomous vehicles, licensing to automotive manufacturers, and use in transportation infrastructure projects.
Possible Prior Art
One possible prior art could be systems that use sensor data for lane detection and object recognition in autonomous vehicles.
Unanswered Questions
How does the system handle sudden changes in the environment that may affect the selected longitudinal speed profile for a lane change maneuver?
The system may need to incorporate real-time data processing and adaptive algorithms to adjust the speed profiles accordingly.
What measures are in place to ensure the accuracy and reliability of the sensor data used for generating the environment representation?
Calibration processes, redundancy in sensor systems, and error detection algorithms may be implemented to ensure the quality of the sensor data.
Original Abstract Submitted
in various examples, sensor data may be collected using one or more sensors of an ego-vehicle to generate a representation of an environment surrounding the ego-vehicle. the representation may include lanes of the roadway and object locations within the lanes. the representation of the environment may be provided as input to a longitudinal speed profile identifier, which may project a plurality of longitudinal speed profile candidates onto a target lane. each of the plurality of longitudinal speed profiles candidates may be evaluated one or more times based on one or more sets of criteria. using scores from the evaluation, a target gap and a particular longitudinal speed profile from the longitudinal speed profile candidates may be selected. once the longitudinal speed profile for a target gap has been determined, the system may execute a lane change maneuver according to the longitudinal speed profile.
