AUMOVIO Germany

Embodiments of the present disclosure relate to methods for safe motion planning. A computer program, a computer-readable data carrier and an apparatus are also disclosed. The method for safe motion planning comprises: obtaining, by a hypernetwork, an environment representation comprising one or more signed distance fields, SDFs, obtained for respective one or more time steps of a motion planning time horizon; generating, by the hypernetwork, parameters based on the environment representation; obtaining, by a main network, a residual of a Hamilton Jacobi, HJ, value function based on the generated parameters; applying a Rectified Linear Unit, ReLU, to the residual to obtain a nonnegative residual; determining an HJ value function as a subtraction of the nonnegative residual from an SDF of the one or more SDF; and using the determined HJ value function for safe motion planning.

A system and method for virtualizing an electronic control system (ECS) is disclosed. The method comprises abstracting signal properties in ECS components by categorizing signals into analog and digital groups to enable distinct processing paths; encapsulating peripheral models with standardized interfaces that match the respective ECS component interfaces; obtaining signal operations including logical operations for digital signals and mathematical operations for analog signals to simulate signal processing between components; executing said signal operations to evaluate signal behavior; and using the evaluation of the signal processing and/or the executed signal operations as input to a machine learning model configured to predict cascading malfunctions across multiple ECS components. The method further comprises adapting ECS components that are predicted to malfunction using software-based and/or hardware-based corrective actions. The system may include modules corresponding to each method step and may support semantic interpretation of signal data, dynamic validation, modular logging with interchangeable backends, and integration into continuous integration (CI) or hardware-in-the-loop (HiL) testing pipelines. The invention enables proactive fault detection, scalable ECS simulation, and enhanced system reliability in safety-critical domains.

Embodiments of the present disclosure relate to methods for virtualizing an electronic control system. A computer program, a computer-readable data carrier and an apparatus are also disclosed. The method comprising: abstracting, technical details of signals in ECS components into groups, including analog signals group and digital signals group; obtaining peripheral models associated with respective ECS components, wherein each peripheral model comprises interfaces that correspond to respective interfaces of the respective ECS component, each interface of the peripheral model being associated with a signal, which is an analog signal or a digital signal, matching an interface signal of the respective ECS component; obtaining signal operations that represent signal processing of the respective ECS components, said signal operations including logical operations for the digital signals, and mathematical operations for the analog signals; and executing the signal operations to evaluate the signal processing between the ECS components.

Embodiments of the present disclosure relate to methods for autonomous navigation and for enhancing the performance of a model predictive control, BMPC. A computer program, a computer-readable data carrier and an apparatus are also disclosed. The BMPC being configured to generate control commands to an autonomous system over successive control intervals. The method for autonomous navigation using the BMPC comprises: obtaining, for each control interval, candidate navigation corridors for the autonomous system; obtaining, using backward reachability analysis, respective backward reachable navigation corridors for at least two of the candidate navigation corridors; obtaining, for each control interval, a highest-progress corridor and a lowest-progress corridor from the backward reachable navigation corridors, wherein the highest-progress corridor is associated with the backward reachable navigation corridor where the autonomous system makes most longitudinal progress, and the lowest-progress corridor is associated with the backward reachable navigation corridor where the autonomous system makes least longitudinal progress; and

The present application discloses a sliding screen assembly, including: a winding unit (10); a flexible screen (20) wound on the winding unit, the flexible screen being provided with a free end (30); a support plate (40) hinged to the free end, the support plate being configured to support the flexible screen unwound by the winding unit; a fixed base (50); and a sliding link mechanism (60) having one end slidably connected to the fixed base and the other end hinged to the support plate; where the sliding link mechanism slides in forward and reverse drive the support plate to move in forward and reverse directions, thereby driving the winding unit to unwind and rewind the flexible screen, so that the flexible screen is deployed and retracted. The present application further discloses an automotive seat, an automotive sunroof, and an automobile.

The application discloses a sliding screen assembly, including: a winding unit; a flexible screen (2), wound on the winding unit, the flexible screen being provided with a free end, and the free end being provided with a traction portion (22); and a flexible screen support frame (3) capable of being deployed and retracted; where the flexible screen support frame (3) is capable of abutting against the traction portion (22), and the flexible screen support frame (3) is deployed to pull the traction portion (22) to move in a forward direction, so that the winding unit unwinds the flexible screen (2), the flexible screen (2) is deployed, and the flexible screen support frame (3) supports the flexible screen (2); the flexible screen support frame (3) is retracted to drive the traction portion (22) to move in a reverse direction, so that the winding unit rewinds the flexible screen (2), and the flexible screen (2) is retracted. The application further discloses an automotive seat, an automotive sunroof, and an automobile.

The present application discloses a sliding screen assembly, including a winding unit (1); a flexible screen (2) wound on the winding unit, where the flexible screen is provided with a free end (21); a support plate (3) hinged to the free end, where the support plate is used to support the flexible screen unwound by the winding unit; a fixed base (4); and a linkage (5) having an end hinged to the fixed base and the other end hinged to the support plate, where the linkage is rotatable in a forward direction and a reverse direction around a hinge point between the linkage and the fixed base (6a), to drive the support plate to rotate in the forward direction and the reverse direction, thereby driving the winding unit to unwind and wind the flexible screen, enabling the flexible screen to unfold and fold. The present application further discloses an automotive seat, an automotive sunroof, and an automobile.

Embodiments of the present disclosure relate to an apparatus, a computer program, a neural network, a training method, a method for intrusion detection, and a method for watermarking data. Embodiments of the watermarking method comprise obtaining data, determining one or more data features of the data, generating a watermark for the data using a predefined function and the data features as input for the function, and embedding the watermark in the data to obtain watermarked data.

Embodiments of the present disclosure relate to a method for generating training data for an application-specific task. A training method and a dataset used for training a machine learning model are also disclosed. A machine learning model, a computer program, a computer-readable data carrier and an apparatus are also presented. The method for generating the training data for the application-specific task comprises: fine-tuning a pre-trained machine learning model using a first dataset; obtaining, using said model, original embeddings for input data obtained from a second application-specific dataset; applying, to each of the obtained original embeddings, a corresponding augmentation function, thereby obtaining corresponding augmented embeddings; and adding the augmented embeddings and the original embeddings to an embeddings dataset.

The present disclosure provides an automotive open system architecture and a communication method for an automotive open system architecture. In a specific implementation solution, the automotive open system architecture includes an application layer and a basic software layer. A data processing module of the basic software layer is communicatively connected to a data communication module and a software component of the application layer respectively, and the data communication module is communicatively connected to a corresponding external device based on a pin of a controller. The data processing module is configured to manage correspondence information between a plurality of pins of the controller and a plurality of external devices. The data processing module is further configured to control, according to a first message containing target external device information and generated by the software component and the correspondence information, the data communication module to communicate with a target external device based on a target pin of the controller, so as to realize read and/or write operations of the software component on the target external device. According to the solution of the present disclosure, the software component does not need to know a communicative connection relationship between the pin of the controller and the external device, and can still implement read and write operations on the target external device.