18545856. LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS simplified abstract (NVIDIA Corporation)
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
- 1.10 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 18545856 titled 'LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS
Simplified Explanation
The abstract describes a patent application related to a system that uses sensor data from an ego-vehicle to generate a representation of the surrounding environment, which is then used to identify a longitudinal speed profile for executing a lane change maneuver.
- Sensor data from ego-vehicle used to create representation of environment
- Representation includes lanes of roadway and object locations within lanes
- Longitudinal speed profile identifier projects speed profile candidates onto target lane
- Candidates evaluated based on criteria to select target gap and speed profile
- Lane change maneuver executed based on selected speed profile
Potential Applications
The technology described in this patent application could be applied in autonomous vehicles, advanced driver-assistance systems, and traffic management systems.
Problems Solved
This technology helps in improving the efficiency and safety of lane change maneuvers in vehicles by accurately determining the appropriate speed profile based on the surrounding environment.
Benefits
The benefits of this technology include enhanced road safety, smoother lane change maneuvers, and improved traffic flow efficiency.
Potential Commercial Applications
The technology could be commercialized by automotive manufacturers, technology companies developing autonomous driving systems, and companies specializing in traffic management solutions.
Possible Prior Art
One possible prior art for this technology could be related to existing systems for lane departure warning and lane keeping assistance in vehicles.
Unanswered Questions
How does the system handle sudden changes in the environment during a lane change maneuver?
The system may need to have mechanisms in place to quickly adapt to unexpected obstacles or changes in the environment to ensure safe execution of the lane change maneuver.
What are the potential cybersecurity risks associated with this technology?
As this system relies on sensor data and automated decision-making processes, there may be vulnerabilities to cyber attacks that could compromise the safety and functionality of the system. Implementing robust cybersecurity measures would be crucial in mitigating these risks.
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.
