VERFAHREN ZUR TRAJEKTORIENOPTIMIERUNG
    1.
    发明申请

    公开(公告)号:WO2022268274A1

    公开(公告)日:2022-12-29

    申请号:PCT/DE2022/200136

    申请日:2022-06-21

    Abstract: Die Erfindung betrifft ein Verfahren zur Ermittlung einer Fahrtrajektorie für wiederkehrende Fahrsituationen, wobei das Verfahren die folgenden Schritte aufweist: - Abfahren einer Fahrstrecke (FS) von einer Startposition (SP) zu einer Zielposition (ZP) durch einen menschlichen Fahrer mittels eines Fahrzeugs (F) (S10); - Erfassen von Umgebungsinformationen durch eine Sensorik des Fahrzeugs (F) während des Abfahrens der Fahrstrecke (FS) (S11); - Abspeichern von Informationen zu einer befahrbaren Fahrgasse basierend auf den Umgebungsinformationen (S12); - Ermitteln einer Fahrtrajektorie basierend auf Informationen zur befahrbaren Fahrgasse mittels einer Recheneinheit des Fahrzeugs (F), die eine Strategie des bestärkenden Lernens implementiert (S13); - Abspeichern der ermittelten Fahrtrajektorie (S14).

    METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR ITERATIVE WARPING OF MAPS FOR AUTONOMOUS VEHICLES AND SIMULATORS

    公开(公告)号:WO2022212374A1

    公开(公告)日:2022-10-06

    申请号:PCT/US2022/022347

    申请日:2022-03-29

    Applicant: ARGO AI, LLC

    Abstract: Methods, systems, and products for generating an updated map for use with an autonomous vehicle driving operation or a simulation thereof may include obtaining first map data associated with a first map of a geographic location including a roadway, and the first map data may include at least one first lane segment. Second map data associated with a second map of the geographic location may be obtained, and the second map data may include at least one second lane segment. A plurality of non-overlapping areas may be determined based on the first lane segment(s) and the second lane segment(s). A first non-overlapping and/or a first warp point within the first non-overlapping area may be selected. The first lane segment(s) may be warped around the first warp point to increase a total overlapping area based on the based on the second lane segment(s) and the first lane segment(s) after warping.

    RESOURCE PRIORITIZATION BASED ON TRAVEL PATH RELEVANCE

    公开(公告)号:WO2021133745A1

    公开(公告)日:2021-07-01

    申请号:PCT/US2020/066487

    申请日:2020-12-21

    Applicant: LYFT, INC.

    Abstract: In one embodiment, a method includes accessing sensor data associated with an environment of the vehicle; identifying agents in the environment based on the sensor data; determining a probability distribution indicative of whether a preliminary trajectory of each of the agents intersects a potential travel space of the vehicle; generating a prioritization of the agents based on the probability distribution; allocating an amount of computing resources of the vehicle for analyzing each of one or more of the agents based on the prioritization and characteristics of the respective one or more agents; and predicting a trajectory of one or more of the agents according to the allocated computing resources. An accuracy of the prediction is proportional to the amount of allocated computing resources. The method also includes determining, based on the analysis of the agents, one or more operations for the vehicle to perform.

    SAFE PATH PLANNING METHOD FOR MECHATRONIC SYSTEMS

    公开(公告)号:WO2021122857A1

    公开(公告)日:2021-06-24

    申请号:PCT/EP2020/086588

    申请日:2020-12-16

    Applicant: KONTROL GMBH

    Abstract: A method for controlling mechatronic systems is described herein. In accordance with one embodiment the method includes planning a nominal path for a mechatronic system using an automatic path planner, receiving information concerning one or more objects detected in the surrounding environment of the mechatronic system and calculating one or more occupancy sets corresponding to the one or more detected objects, and detecting whether the nominal path violates at least one of the one or more Occupancy Sets. In one embodiment, the occupancy sets may represent theoretic system states of the mechatronic system which are potentially occupied by the stationary and dynamic objects at a specific time. Furthermore, a corresponding control system is described.

    TOOLS FOR PERFORMANCE TESTING AND/OR TRAINING AUTONOMOUS VEHICLE PLANNERS

    公开(公告)号:WO2022090512A2

    公开(公告)日:2022-05-05

    申请号:PCT/EP2021/080206

    申请日:2021-10-29

    Abstract: A computer-implemented method of evaluating the performance of a target planner for an ego robot in a real or simulated scenario, the method comprising: receiving evaluation data for evaluating the performance of the target planner in the scenario, the evaluation data generated by applying the target planner at incrementing planning steps, in order to compute a series of ego plans that respond to changes in the scenario, the series of ego plans being implemented in the scenario to cause changes in an ego state the evaluation data comprising: the ego plan computed by the target planner at one of the planning steps, and a scenario state at a time instant of the scenario, wherein the evaluation data is used to evaluate the target planner by: computing a reference plan for said time instant based on the scenario state, the scenario state including the ego state at that time instant as caused by implementing one or more preceding ego plans of the series of ego plans computed by the target planner, and computing at least one evaluation score for comparing the ego plan with the reference plan.

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