20240010236. Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles simplified abstract (Robert Bosch GmbH)
Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles
Organization Name
Inventor(s)
Felix Schmitt of Ludwigsburg (DE)
Martin Stoll of Renningen (DE)
Johannes Goth of Wildberg (DE)
Holger Andreas Banzhaf of Laichingen (DE)
Johannes Maximilian Doellinger of Esslingen Am Neckar (DE)
Michael Hanselmann of Korntal-Muenchingen (DE)
Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240010236 titled 'Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles
Simplified Explanation
The patent application describes a method for selecting a driving maneuver to be carried out by a semi-autonomous vehicle. The method involves using sensor data to create a representation of the vehicle's situation and mapping it to a probability distribution using a trained machine learning model. The probability distribution specifies the likelihood of each driving maneuver from a predefined catalog. A driving maneuver is then selected from the probability distribution, taking into account any disallowed maneuvers based on the situation. The disallowed maneuver is prevented from being carried out.
- The method uses sensor data to determine the situation of a semi-autonomous vehicle.
- A trained machine learning model is used to map the situation representation to a probability distribution.
- The probability distribution specifies the likelihood of each driving maneuver from a predefined catalog.
- A driving maneuver is selected from the probability distribution as the one to be carried out.
- Disallowed driving maneuvers are determined based on the situation and prevented from being carried out.
Potential applications of this technology:
- Autonomous vehicles: This method can be used in autonomous vehicles to select appropriate driving maneuvers based on the situation, improving safety and efficiency.
- Fleet management: Fleet management companies can use this method to optimize driving maneuvers for their vehicles, reducing fuel consumption and maintenance costs.
- Traffic management: This technology can be integrated into traffic management systems to optimize traffic flow and reduce congestion.
Problems solved by this technology:
- Uncertainty in driving situations: The method uses sensor data and machine learning to accurately represent the situation and select appropriate driving maneuvers, reducing the risk of accidents.
- Disallowed maneuvers: By determining and preventing disallowed maneuvers, the method ensures that the vehicle operates within safe and legal limits.
Benefits of this technology:
- Improved safety: By selecting appropriate driving maneuvers based on the situation, the method reduces the risk of accidents and improves overall safety.
- Efficiency: The method optimizes driving maneuvers, leading to improved fuel efficiency and reduced vehicle wear and tear.
- Adaptability: The trained machine learning model can adapt to different driving situations, making the method applicable in various scenarios.
Original Abstract Submitted
a method for selecting a driving maneuver to be carried out by an at least semi-autonomously driving vehicle is disclosed. the method includes (i) using measurement data of at least one sensor carried by the vehicle, creating a representation of the situation the vehicle is in, (ii) mapping the representation of the situation to a probability distribution by way of a trained machine learning model, which probability distribution specifies a probability for every driving maneuver from a predefined catalog of available driving maneuvers, with which said driving maneuver is carried out, (iii) selecting a driving maneuver from the probability distribution as the driving maneuver to be carried out, (iv) in addition to using at least one aspect of the situation the vehicle is in, a subset of driving maneuvers which are disallowed in this situation is determined, and (v) this disallowed driving maneuver is prevented from being carried out.
