Aptiv Technologies AG

Systems and methods for preparing, organizing, and electrically connecting individual conductors or cable bundles to connector terminals, ensuring reliable contact and strain relief.

Systems utilizing various sensors (e.g., cameras, radar, sonar) to perceive the vehicle's surrounding environment, detect objects, and process/display relevant information to the driver for enhanced awareness, assistance in maneuvers, or safety.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Connectors specifically designed for high current or voltage applications, often incorporating features for power delivery, thermal management, or combining power and signal lines.

Design of contact elements and their interaction to ensure stable, low-resistance electrical connection under various mechanical and environmental conditions, including spring forces and material choices.

Mechanical features or components integrated into connector housings or mating interfaces to ensure secure engagement and prevent accidental disengagement.

Structural design and manufacturing techniques for bundling multiple wires into harnesses, including protective layers like braiding and interlocking armor, and methods for assembly and termination.

Systems and methods for enhancing the safety of vulnerable road users (pedestrians, cyclists) by improving their detection, prediction, and precise localization relative to the vehicle, often leveraging communication technologies and specialized markers.

Systems and methods for electronically steering or shaping antenna beams by controlling the phase and amplitude of signals fed to individual elements in an array, including calibration techniques and multi-antenna configurations.

Design and manufacturing techniques for incorporating antenna structures directly into electronic devices, product housings, or materials, often under constraints of space, aesthetics, or environmental factors.

Methods and structures for integrating and enclosing electronic components into compact, multi-functional modules, often involving embedded components, multi-layer substrates, and electromagnetic shielding for performance and miniaturization.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Integration and control of electronic components within the vehicle, including power distribution, thermal management for integrated circuits, and advanced user interfaces such as voice assistants, often involving specialized housings or trim.

Algorithms and systems for generating, optimizing, and executing trajectories for autonomous vehicles or robots to move through an environment, often involving obstacle avoidance, route validation, and goal reaching.

Techniques and structures used to reduce unwanted electromagnetic coupling, scattering, or interference between multiple antennas, different frequency bands, or sensitive electronic components within a device.

Antennas engineered to operate effectively across a wide continuous range of frequencies (broadband) or multiple distinct frequency bands, often requiring specific radiating element geometries or impedance matching circuits.

Methods and systems for accurately determining the absolute or relative position of an object or device, often integrating satellite navigation (GNSS), inertial measurement units (IMU), and local ranging or wireless communication technologies.

Design and control of power supply architectures that combine multiple power sources (e.g., AC grid, DC battery, generators) or modular battery units, often featuring switching, conversion, and redundancy for enhanced reliability and flexibility.

Integrated systems for managing parking facilities, guiding vehicles to available spots, and providing notifications, often leveraging sensors, communication, and remote control.

Manufacturing processes and material compositions for creating electronic circuits on flexible or conformable substrates, enabling novel form factors, enhanced durability, and new applications beyond rigid PCBs.

Systems that monitor a vehicle operator's physiological state, attentiveness, or behavior using in-cabin sensors and machine learning to enhance safety or personalize vehicle functions.

Design and assembly of power conversion, distribution, and protection modules, focusing on compact form factors, efficient electrical connections, and robust protective measures for electronic systems, often in high-power applications.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

Design techniques and components within connectors to minimize signal degradation, crosstalk, and impedance mismatches for high-frequency data transmission.

Safety features built into or around vehicle seats to protect occupants during various accident scenarios, including airbags, pre-crash positioning, and blast attenuation.

Methods and materials used to construct robust and protective enclosures for electronic devices, focusing on structural integrity, impact resistance, thermal dissipation, and specialized material properties for enhanced durability.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Techniques used by sensing systems to identify the presence, location, and characteristics of objects or unusual conditions in an environment, including methods to suppress false positives or 'ghost' detections.

Technologies enabling dynamic control over electromagnetic wave propagation using arrays of passive or active elements (unit cells) to reflect, refract, or absorb signals, often for channel optimization or energy efficiency.

Techniques and apparatus for electrically testing semiconductor devices, integrated circuits, or wafers during manufacturing or post-assembly, including built-in self-test (BIST) and contact reliability assessment.

Technologies that enable automated or mobile device-controlled access to a vehicle, including keyless entry, remote functions, and power-assisted steps or pedals designed to facilitate easier ingress and egress.

Methods and components for optimizing the performance, efficiency, and control of electric motors, inverters, and power converters within electric vehicle and hybrid vehicle drivetrains.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Techniques and systems for precisely measuring electrical or electromagnetic properties of materials or components, often involving specialized resonators, waveguides, or multi-range measurement systems to ensure accuracy.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Development of polymer compositions and material structures for electrical insulation and protective sheathing of cables, focusing on properties like flame retardancy, flexibility, and semiconductivity.

Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.

Techniques and architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.

Development of new conductive materials, including powders, composites, and alloys, designed for specific electrical performance, manufacturing processes, or applications beyond basic copper wires.

Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.

Devices and structural elements within the vehicle cabin or attached to the vehicle body designed to organize, secure, or support various articles, equipment, or even pets, often featuring customizable compartments or robust attachment mechanisms.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.