View source for 20240045050. Method for Validating Environment Detection Sensors of a Vehicle and a Vehicle Configured for Validating Environment Detection Sensors simplified abstract (Daimler Truck AG)

=Method for Validating Environment Detection Sensors of a Vehicle and a Vehicle Configured for Validating Environment Detection Sensors=


==Organization Name==

[[:Category:Daimler Truck AG|Daimler Truck AG]]


[[Category:Daimler Truck AG]]

==Inventor(s)==

[[:Category:Sebastian Kleinschmidt of Hannover (DE)|Sebastian Kleinschmidt of Hannover (DE)]][[Category:Sebastian Kleinschmidt of Hannover (DE)]]

==Method for Validating Environment Detection Sensors of a Vehicle and a Vehicle Configured for Validating Environment Detection Sensors - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240045050 titled 'Method for Validating Environment Detection Sensors of a Vehicle and a Vehicle Configured for Validating Environment Detection Sensors

==Simplified Explanation==

The abstract describes a method for validating a plurality of environment detection sensors that are connected to a vehicle. These sensors are used to detect the relative speed of an object in the vehicle's environment based on their respective sensor coordinate systems. 

The method involves performing an extrinsic calibration, where a uniform coordinate transformation is defined for each sensor coordinate system. This allows for the definition of an object speed based on the vehicle coordinate system and/or at least one parameter of a movement model of the vehicle, using the uniform coordinate transformations. 

If the object speeds deviate from each other and/or relative to the movement model of the vehicle by more than a predetermined amount, a decalibrated state is assigned to the plurality of environment detection sensors. 

Bullet points explaining the patent/innovation:

* Method for validating environment detection sensors connected to a vehicle
* Sensors detect relative speed of objects in the vehicle's environment
* Extrinsic calibration defines uniform coordinate transformations for each sensor coordinate system
* Object speed is defined based on the vehicle coordinate system and/or movement model parameters
* Decalibrated state is assigned to sensors if object speeds deviate beyond a predetermined amount

Potential applications of this technology:

* Autonomous vehicles: Ensuring accurate and reliable detection of objects in the vehicle's environment is crucial for the safe operation of autonomous vehicles. This method can help validate the environment detection sensors used in autonomous vehicles, improving their overall performance and safety.

* Collision avoidance systems: Validating the environment detection sensors in collision avoidance systems can enhance their effectiveness in detecting and responding to potential collisions. This method can be applied to ensure the accuracy and reliability of such systems, reducing the risk of accidents.

* Traffic monitoring: The method can be used to validate the environment detection sensors in traffic monitoring systems, ensuring accurate detection of vehicle speeds and movements. This can aid in traffic management and congestion control.

Problems solved by this technology:

* Sensor validation: The method addresses the challenge of validating the accuracy and reliability of environment detection sensors connected to a vehicle. By comparing the object speeds detected by different sensors and the vehicle's movement model, deviations can be identified, and a decalibrated state can be assigned to the sensors.

* Inaccurate object detection: Inaccurate detection of objects in the vehicle's environment can lead to incorrect decisions and actions by autonomous systems or collision avoidance systems. This method helps identify and address deviations in object speeds, improving the accuracy of object detection.

Benefits of this technology:

* Improved safety: By validating the environment detection sensors, the method enhances the safety of autonomous vehicles and collision avoidance systems. Accurate and reliable detection of objects in the vehicle's environment reduces the risk of accidents and improves overall road safety.

* Enhanced performance: Validating the environment detection sensors ensures their accuracy and reliability, leading to improved performance of autonomous systems and collision avoidance systems. This can result in better decision-making and more effective responses to potential hazards.

* Efficient traffic management: The method can contribute to more efficient traffic management by validating the environment detection sensors used in traffic monitoring systems. Accurate detection of vehicle speeds and movements can aid in optimizing traffic flow and reducing congestion.


==Original Abstract Submitted==

a method for validating a plurality of environment detection sensors that are rigidly connected with a vehicle, where the plurality of environment detection sensors are configured for detecting a relative speed, which is based on a sensor coordinate system of a respective environment detection sensor, of an object detected in the vehicle environment. in an extrinsic calibration, a uniform coordinate transformation is defined for every sensor coordinate system. using the uniform coordinate transformations: an object speed is defined for every relative speed based on the vehicle coordinate system and/or at least one parameter of a movement model of the vehicle is defined from the plurality of the relative speeds. a decalibrated state is then assigned to the plurality of environment detection sensors when the object speeds deviate from each other and/or relative to the movement model of the vehicle by more than a predetermined amount.



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