Company patents
Geotab Inc.
Geotab Inc.'s patent strategy shows a surprising shift away from its core 'Time / Attendance / Access Control' category, which makes up 31.3% of its portfolio but has seen a significant decline of -46.2% so far in 2026. While many categories are experiencing declines in 2026, the rapid growth in 'Traffic Control Systems' (YoY +144.4% in 2024) and 'Computer Vision' (YoY +55.6% in 2024) in prior years suggests an emerging focus on intelligent transportation and visual data processing, despite recent slowdowns.
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.
383 US filings (since 2023) · 12 categories · 24 themes
Technologies for monitoring vehicle performance, detecting faults, collecting operational data, and providing remote assistance or automated control based on sensor inputs and network connectivity.
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.
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.
Integrated systems for managing parking facilities, guiding vehicles to available spots, and providing notifications, often leveraging sensors, communication, and remote control.
Systems and methods that leverage location data, IoT sensors, and predictive analytics to optimize urban services such as traffic flow, emergency response, parking, and waste collection.
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 for coordinating and controlling fleets of autonomous vehicles or machines, including task allocation, route optimization, and monitoring their operational status and progress.
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.
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.
Methods and components for optimizing the performance, efficiency, and control of electric motors, inverters, and power converters within electric vehicle and hybrid vehicle drivetrains.
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.
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.
Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.
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 utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.
Systems enabling wireless communication between vehicles (V2V), vehicles and infrastructure (V2I), or vehicles and other entities (V2X) to share information for traffic management, safety, and navigation.
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 designed to manage the temperature of multiple components in electric or hybrid vehicles, such as batteries, electric motors, power electronics, and the passenger cabin, often using shared or interconnected cooling/heating circuits.
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.
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.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.
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.
Patents
Showing 1-7 of 7
Multi-modal Sensor Fusion