18443078. COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE simplified abstract (Robert Bosch GmbH)
Contents
- 1 COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE - 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 Questions about the Technology
- 1.11 Original Abstract Submitted
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE
Organization Name
Inventor(s)
Johannes Christian Mueller of Ostelsheim (DE)
Anne Von Vietinghoff of Renningen (DE)
Christian Heinzemann of Vellmar (DE)
Heiko Freienstein of Weil Der Stadt (DE)
Jens Oehlerking of Stuttgart (DE)
Martin Butz of Steinheim An Der Murr (DE)
Martin Herrmann of Korntal (DE)
Michael Rittel of Markgroeningen (DE)
Stefan Ruppin of Grafenau (DE)
Steffen Knoop of Hohenwettersbach (DE)
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443078 titled 'COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR PLANNING THE BEHAVIOR OF A VEHICLE
Simplified Explanation
The patent application describes a method and system for planning a vehicle's behavior using a predefined set of rules with prioritized rules based on the situation. Situation-specific information is gathered to create an environmental model, and boundary conditions for the vehicle's behaviors are determined and prioritized.
Key Features and Innovation
- Computer-implemented method for planning vehicle behavior
- Predefined set of rules with prioritized rules
- Aggregation of situation-specific information
- Generation of an environmental model based on the information
- Decision-making process structure for rule prioritization
- Determination and prioritization of boundary conditions for vehicle behaviors
Potential Applications
This technology could be applied in autonomous vehicles, traffic management systems, and fleet management solutions.
Problems Solved
This technology addresses the challenge of efficiently planning and prioritizing a vehicle's behavior in various situations, ensuring safe and optimal driving decisions.
Benefits
- Improved safety on the road
- Enhanced efficiency in vehicle behavior planning
- Better decision-making processes for vehicles
- Potential for reducing accidents and traffic congestion
Commercial Applications
- Autonomous vehicle technology
- Traffic control and management systems
- Fleet management solutions for logistics companies
Questions about the Technology
How does this technology improve road safety?
This technology enhances road safety by efficiently planning and prioritizing a vehicle's behavior based on the given situation, reducing the risk of accidents.
What are the potential applications of this technology beyond vehicle behavior planning?
This technology could have applications in various industries such as robotics, industrial automation, and smart city infrastructure for decision-making processes based on environmental models.
Original Abstract Submitted
A computer-implemented method and a corresponding system for planning the behavior of a vehicle using a predefined set of rules with prioritized rules for assessing possible behaviors of the vehicle in a given situation. For this purpose, situation-specific information is aggregated, and an environmental model of the given situation is generated based on the aggregated situation-specific information. The set of rules includes a decision-making process structure, which represents the prioritization of the individual rules of the set of rules. On the basis of the environmental mode, boundary conditions for the possible behaviors of the vehicle are determined. The latter are then prioritized by applying the decision-making process structure to the respective boundary conditions.
- Robert Bosch GmbH
- Johannes Christian Mueller of Ostelsheim (DE)
- Anne Von Vietinghoff of Renningen (DE)
- Christian Heinzemann of Vellmar (DE)
- Heiko Freienstein of Weil Der Stadt (DE)
- Jens Oehlerking of Stuttgart (DE)
- Martin Butz of Steinheim An Der Murr (DE)
- Martin Herrmann of Korntal (DE)
- Michael Rittel of Markgroeningen (DE)
- Ralf Kohlhaas of Calw (DE)
- Stefan Ruppin of Grafenau (DE)
- Steffen Knoop of Hohenwettersbach (DE)
- B60W60/00
- CPC B60W60/0011