Klaus Rink

Bio: Klaus Rink is an academic researcher from Continental Automotive Systems. The author has contributed to research in topics: Current sensor & Current (fluid). The author has an hindex of 8, co-authored 52 publications receiving 230 citations. Previous affiliations of Klaus Rink include Continental AG.

Verfahren und System zur Erfassung und/oder Sicherung von Videodaten in einem Kraftfahrzeug

Abstract: Die Erfindung betrifft ein Verfahren und ein System zur Erfassung und Sicherung von Videodaten in einem Kraftfahrzeug (1), wobei das Kraftfahrzeug (1) zumindest uber Kamerasensoren (102, 103) zur Erfassung der Videodaten verfugt, dadurch gekennzeichnet, dass die Erfassung und / oder die Sicherung automatisiert ausgelost werden.

System zur autonomen Fahrzeugführung und Kraftfahrzeug

Abstract: Die Erfindung betrifft ein System zur autonomen Fahrzeugfuhrung, welches so ausgebildet ist, dass eine zumindest eingeschrankte und/oder zeitlich begrenzte Fahrzeugfuhrung auch dann noch moglich ist, wenn ein Teil der Komponenten des Systems ausfallt. Die Erfindung betrifft des Weiteren ein Fahrzeug mit einem solchen System.

Sensor fusion with a smartphone in a vehicle

Abstract: The invention relates to a method for determining a relative position (36) of a device (32) with a camera (62) and a sensor (54, 56) in a vehicle (2) with respect to a reference point (29) in the vehicle (2), comprising: - recording an image (64) of at least a part (82, 90) of the vehicle (2) from the point of view of the device (32) using the camera (62), and - determining the relative position (36) of the device (32) on the basis of a measurement (66) of the detected image (64).

Device for measuring an electric current

Abstract: The invention relates to a device (2) for measuring an electric current between a vehicle battery and an electrical consumer connected to the vehicle battery. Said claimed device (2) comprises a bus bar (4) which picks up the electric current in the vehicle battery and guides it further to the electrical consumer, on which a first current sensor (34, 40) and a second current sensor (20) which is different from the first current sensor (34, 40) are arranged, said current sensors being designed to measure, independently from each other, the electric current circulating in the bus bar (4).

System for autonomous vehicle guidance and motor vehicle

Abstract: The invention relates to a system for autonomous vehicle guidance, which is designed so that at least limited and/or temporally restricted vehicle guidance is still possible even in the event of failure of some of the system components. The invention also relates to a vehicle comprising such a system.

Machine-learning systems and techniques to optimize teleoperation and/or planner decisions

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Teleoperation system and method for trajectory modification of autonomous vehicles

Abstract: Method including receiving a teleoperation message via a communication link from an autonomous driverless vehicle, detecting data specifying an event associated with the autonomous vehicle like the degradation of a sensor, identifying one or more courses of action to perform responsive to the event, simulating the courses of action to calculate simulated values and generating visualization data to present information associated with the event to a display of a teleoperator computing device to allow selection of a desired course of action.

Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles

Abstract: Systems, methods and apparatus may be configured to implement automatic semantic classification of a detected object(s) disposed in a region of an environment external to an autonomous vehicle. The automatic semantic classification may include analyzing over a time period, patterns in a predicted behavior of the detected object(s) to infer a semantic classification of the detected object(s). Analysis may include processing of sensor data from the autonomous vehicle to generate heat maps indicative of a location of the detected object(s) in the region during the time period. Probabilistic statistical analysis may be applied to the sensor data to determine a confidence level in the inferred semantic classification. The inferred semantic classification may be applied to the detected object(s) when the confidence level exceeds a predetermined threshold value (e.g., greater than 50%).

Travel control apparatus for vehicle

Abstract: A travel control apparatus for a vehicle includes: a travel environment information acquisition unit that acquires travel environment information on a travel environment where the vehicle travels; a travel information detector that detects travel information on the vehicle; and an overtaking controller that detects an overtaking target vehicle ahead of the vehicle in an identical travel lane on the basis of the travel environment information and the travel information, and overtakes the overtaking target vehicle using automatic driving control. When failures are detected in relation to the travel environment information acquisition and in a steering system of the vehicle during the overtaking control, the overtaking controller modifies the overtaking control by activating required substitute control in accordance with the travel environment information obtained most recently before detecting the travel environment information acquisition failure, information on the overtaking target vehicle, the travel information, and conditions during the overtaking control.