Patents by Inventor Ljubo Mercep

Ljubo Mercep has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20180067966
    Abstract: This application discloses a computing system to implement map building in an assisted or automated driving system. The computing system can track movement of a vehicle based on sensor measurement data populated in an environmental model and vehicle movement measurements. The computing system can correlate the tracked movement of the vehicle to map data based on a previously detected location of the vehicle relative to the map data. The computing system can modify the map data to include the sensor measurement data utilized to track the movement of the vehicle based on the correlation of the tracked movement of the vehicle to map data. The computing system can modify the map data by building a map of the sensor measurement data and the tracked movement of the vehicle, and populating the map data with the built map.
    Type: Application
    Filed: January 31, 2017
    Publication date: March 8, 2018
    Inventors: Rainer Oder, Andreas Erich Geiger, Ljubo Mercep, Matthias Pollach
  • Publication number: 20180066954
    Abstract: This application discloses a computing system to implement vehicle localization in an assisted or automated driving system. The computing system can receive an environmental model populated with measurement data captured by sensors mounted in a vehicle. The computing system can detect a location of the vehicle relative to the map data based on a correlation between the measurement data and the map data. The computing system can detect landmarks in the map data and switch to sparsely-populated map data from higher-definition map data for subsequent location detections. When the computing system does not detect a vehicle location, the computing system can track movement of the vehicle based on subsequent measurement data in the environmental model. After reacquiring a vehicle location, the computing can realign the tracked movement of the vehicle and measured data to the map data or modify the map data to include the tracked data.
    Type: Application
    Filed: January 30, 2017
    Publication date: March 8, 2018
    Inventors: Rainer Oder, Andreas Erich Geiger, Ljubo Mercep, Matthias Pollach
  • Publication number: 20180067488
    Abstract: Determining a situational annotation of a vehicle based on an annotated environmental model is disclosed. A computing system receives an annotated environmental model for a vehicle. The annotated environmental model can include data from a plurality of modalities. The computing system uses a classifier to determine an annotation of the vehicle situation based, at least in part, on the annotated environmental model. The computing system provides the situational annotation to a driving functionality system. The driving functionality system is configured to use the situational annotation to generate signals to control operation the vehicle.
    Type: Application
    Filed: September 8, 2016
    Publication date: March 8, 2018
    Applicant: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep
  • Publication number: 20180067490
    Abstract: This application discloses a computing system to implement pre-tracking sensor event detection and fusion in an assisted or automated driving system of a vehicle. The computing system can receive an environmental model including sensor measurement data from different types of sensors in the vehicle. The computing system can identify, on a per-sensor type basis, patterns in the sensor measurement data indicative of possible objects proximate to the vehicle. The computing system can associate the patterns in the sensor measurement data from different types of the sensors to identify detection events corresponding to the possible objects proximate to the vehicle. The computing system also can generate values and confidence levels corresponding to properties of the detection events. The computing system can utilize the detection events and corresponding values and confidence levels to pre-classify, identify, and track objects in the environment model.
    Type: Application
    Filed: January 20, 2017
    Publication date: March 8, 2018
    Inventors: Matthias Pollach, Ljubo Mercep
  • Publication number: 20180067491
    Abstract: This application discloses a computing system to implement object tracking in an assisted or automated driving system of a vehicle. The computing system can assign a pre-classification to a detection event in an environmental model, update the environmental model with new sensor measurements and corresponding detection events over time, and track the detection event in the updated environmental model. The computing system can track the detection event by predicting a future state of the detection event with a state change model selected based on the assigned pre-classification, comparing the predicted future state to an actual future state of the detection event in an update to the environmental model, and determining the detection event corresponds to an object proximate to the vehicle based on the comparison. A control system for the vehicle can control operation of the vehicle based, at least in part, on the tracked detection event.
    Type: Application
    Filed: January 30, 2017
    Publication date: March 8, 2018
    Inventors: Rainer Oder, Andreas Erich Geiger, Ljubo Mercep, Matthias Pollach
  • Publication number: 20180067489
    Abstract: This application discloses a computing system to implement low-level sensor fusion in an assisted or automated driving system of a vehicle. The low-level sensor fusion can include receiving raw measurement data from sensors in the vehicle and temporally aligning the raw measurement data based on a time of capture. The low-level sensor fusion can include spatially aligning measurement coordinate fields of the sensors into an environmental coordinate field based, at least in part, on where the sensors are mounted in the vehicle, and then populating the environmental coordinate field with raw measurement data captured by the sensors based on the spatial alignment of the measurement coordinate fields to the environmental coordinate field. The low-level sensor fusion can detect at least one detection event or object based, at least in part, on the raw measurement data from multiple sensors as populated in the environmental coordinate field.
    Type: Application
    Filed: October 6, 2016
    Publication date: March 8, 2018
    Inventors: Rainer Oder, Andreas Erich Geiger, Ljubo Mercep, Matthias Pollach
  • Publication number: 20180067492
    Abstract: This application discloses a computing system to implement multi-level sensor fusion in an assisted or automated driving system of a vehicle. The computing system can populate an environment model with raw measurement data captured by sensors mounted in a vehicle and with data corresponding to a possible object in an coordinate field associated with the environmental model. The computing system can combine at least a portion of the raw measurement data with the data corresponding to the possible object, and detect an object proximate to the vehicle based, at least in part, on the combination of the raw measurement data and the data corresponding to the possible object. A control system for the vehicle can control operation of the vehicle based, at least in part, on the tracked detection event.
    Type: Application
    Filed: January 31, 2017
    Publication date: March 8, 2018
    Inventors: Rainer Oder, Andreas Erich Geiger, Ljubo Mercep, Matthias Pollach
  • Publication number: 20180068206
    Abstract: Object recognition and classification based on data from multiple sensor modalities is disclosed. A computing system can detect an event in a monitored portion of an environment coordinate field associated with a vehicle. The computing system can retrieve data associated with the detected event from a plurality of modalities. At least one of the modalities can include raw data from a sensor associated with the vehicle. The computing system can classify the detected event based at least in part on the retrieved data and one or more parameters of a classifier.
    Type: Application
    Filed: September 8, 2016
    Publication date: March 8, 2018
    Applicant: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep