Company patents
PlusAI, Inc.
PlusAI, Inc. surprisingly shows a significant shift in its patent strategy, with its core "Vehicle Control Systems" category, representing 69.4% of its portfolio, experiencing a substantial decline of 32.1% in 2025. This contrasts with an emerging focus on "Traffic Control Systems," which saw remarkable growth of 166.7% in 2025, indicating a strategic pivot towards broader traffic management solutions rather than solely in-vehicle control, though patent filings across most categories, including Traffic Control Systems, are significantly lower so far in 2026.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
219 US filings (since 2023) · 12 categories · 22 themes
Algorithms and systems for planning and executing complex vehicle maneuvers, often involving cooperation with other vehicles or infrastructure, to optimize traffic flow, avoid collisions, or navigate challenging scenarios. This includes lane changes, cut-ins, and traffic congestion.
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.
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.
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 generating, updating, and utilizing highly detailed digital maps that include lane-specific information, and for precisely determining a vehicle's position within these lanes, often using sensor data.
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.
Techniques and architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.
Technologies for detecting adverse weather conditions or road hazards and providing timely alerts and adaptive control strategies to vehicles and drivers to enhance safety.
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.
Systems and methods for dynamically adjusting traffic signal timings and phases at intersections based on real-time traffic conditions, priority vehicles, and predictive analytics to optimize flow and reduce congestion.
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 that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.
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.
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.
Systems and methods for monitoring, controlling, and optimizing the movement of unmanned aerial vehicles (UAVs) and other aircraft, including real-time connectivity, flight planning, and route modification.
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.
Integrated systems for managing parking facilities, guiding vehicles to available spots, and providing notifications, often leveraging sensors, communication, and remote control.
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.
Systems that dynamically adjust vehicle headlamp beam patterns, direction, or intensity based on driving conditions, vehicle state, or detected objects to improve visibility and safety.
Control systems for managing vehicle braking and maintaining a stationary state, including brake pedal actuation sensing, automatic brake hold functions, and coordination with parking brakes.
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.
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.
Patents
Showing 1-10 of 57
ADAS Perception & Display