18063354. ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
- 1 ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Vehicle Trajectory Planning Systems
- 1.13 Original Abstract Submitted
ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Daniel Aguilar Marsillach of Detroit MI (US)
Sayyed Rouhollah Jafari Tafti of Troy MI (US)
ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18063354 titled 'ROBUST TRAJECTORY PLANNING USING DATA-DRIVEN REACHABILITY CORRIDORS
Simplified Explanation
The patent application describes a vehicle trajectory planning system that uses multiple sources of information to plan a robust trajectory for a host vehicle, even in inclement weather conditions.
Key Features and Innovation
- Perception system collects information from various sources.
- Fusion module combines map data and perception items.
- Behavior planning module generates a baseline trajectory for the host vehicle.
- Trajectory and motion planning module determines a reference trajectory and operation corridor.
- Disturbance and reachability refiner module adjusts the baseline trajectory to be robust in inclement weather.
Potential Applications
This technology can be applied in autonomous vehicles, advanced driver assistance systems, and transportation systems to improve safety and efficiency.
Problems Solved
The system addresses the challenge of planning vehicle trajectories in adverse weather conditions, ensuring safe and reliable operation.
Benefits
- Enhanced safety for vehicles in challenging weather conditions.
- Improved efficiency in trajectory planning for autonomous vehicles.
- Increased reliability of host vehicle operations.
Commercial Applications
Title: Advanced Vehicle Trajectory Planning System for Autonomous Vehicles This technology can be utilized by automotive manufacturers, transportation companies, and technology firms developing autonomous driving systems.
Prior Art
Readers can explore prior research on vehicle trajectory planning systems, perception systems, and autonomous vehicle technologies to understand the evolution of this innovation.
Frequently Updated Research
Researchers are continually exploring new algorithms and technologies to enhance the robustness and efficiency of vehicle trajectory planning systems.
Questions about Vehicle Trajectory Planning Systems
How does the perception system collect information from multiple sources?
The perception system uses sensors, cameras, lidar, and radar to gather data from the vehicle's surroundings.
What are the potential challenges in implementing a robust trajectory planning system for autonomous vehicles?
Challenges may include real-time data processing, accurate mapping, and adapting to dynamic environments.
Original Abstract Submitted
A vehicle trajectory planning system includes a perception system of a host vehicle collecting information from multiple sources and communicating with a computer. A fusion module fuses scene information from a map and perception items identified by the perception system. A behavior planning module receives an output of the fusion module and produces a host vehicle baseline trajectory. A trajectory and motion planning module receives an output of the fusion module in parallel with the behavior planning module. The trajectory and motion planning module determines a reference trajectory and operation corridor for a host vehicle. A disturbance and reachability refiner module receives an output of the trajectory and motion planning module including the reference trajectory and operation corridor. An algorithm is applied to adjust and re-plan the host vehicle baseline trajectory to be robust to a range of inclement weather conditions.