Company patents
Five AI Limited
Five AI Limited's patent strategy reveals a strong, but recently decelerating, focus on core autonomous vehicle technologies, with Vehicle Control Systems (37.5% of portfolio) and Computer Vision (34.8%) being dominant. While Machine Learning & AI saw explosive growth in 2024 (+450.0% YoY), the significant year-over-year declines across nearly all categories in 2025 and so far in 2026 suggest a potential shift in R&D priorities or a maturation of their initial patenting surge.
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.
112 US filings (since 2023) · 12 categories · 14 themes
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 architectures for ensuring the reliability, fault tolerance, and performance validation of autonomous driving systems, including redundant computing platforms and perception system monitoring.
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.
Systems for coordinating and controlling fleets of autonomous vehicles or machines, including task allocation, route optimization, and monitoring their operational status and progress.
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.
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.
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.
Technologies for monitoring vehicle performance, detecting faults, collecting operational data, and providing remote assistance or automated control based on sensor inputs and network connectivity.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.
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.
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.
Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.
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.
Patents
Showing 11-16 of 16
Autonomous Fleet & Task Management