Introducing DriveMod, Cyngn's Autonomous Vehicle Technology For Commercial and Industrial Machines
DriveMod Unifies All These Technologies into One Simple Autonomous Vehicle Solution
2D & 3D Machine Vision
Advanced machine vision analyzes data from multiple sensors, including lidars, cameras, and radars. Sensor fusion and artificial intelligence generate a lean and accurate representation of the objects and actors in the scene.
Cyngn utilizes high-definition semantic maps to enrich perception and decision engines with contextual information.
Excellence in Engineering
DriveMod was developed using the most demanding autonomous robo-taxi system requirements, architecture, and technical design, and deployed under conditions with extreme event density.
Ready to Scale
With just a few straightforward drive-by-wire modifications, DriveMod works on the machines you already own. Our technology stack utilizes off-the-shelf components for computation, communication, and sensing.
A Complete Solution
Our comprehensive technology stack includes a suite of management and
monitoring tools, with intelligent data center, operational analytics, fleet management, HMI, and teleoperation.
Core Autonomy Algorithms
Cyngn’s planning and control system evaluates the scene and all actors and then decides and executes driving maneuvers in order to achieve the vehicle’s mission
A four-dimensional, high-abstraction representation of the environment is created to predict the movement and trajectories of vehicles and people, and enable modeling of scene dynamics across use cases.
Data Center and Pipeline
Cyngn’s system intelligently triggers event-driven data collection, which is used for developing machine learning models, and performing rigorous simulation and testing.
This data includes driving conditions data for regression testing and debugging, raw sensor data for machine vision model and algorithm development, and much more.
Cyngn’s data-informed-and-driven development process involves measuring everything. From software impact modules on hardware resources, through the performance of specific machine learning models to overall system driving capabilities and mission completion.
Insights are derived from this data to continuously improve the system and the service it provides.
Cyngn’s intrinsic simulation framework, indistinguishable to the autonomous driving software from the real world, accelerates the development, testing, and validation of software upgrades and new feature deployments, through performance and event data collected from production and testing fleets.
Using accelerated run, headless operation, automatic grading, Cyngn can test orders of magnitude faster than can be achieved by road testing alone.
Cyngn’s on-board watchdog constantly monitors the performance of all sub-systems and reports performance indicators and events.
Multiple layers of sensors and algorithms are applied to ensure robust coverage and redundancy across the system.
Tele-assist systems utilize the most advanced network technologies to augment the fleet with human supervisors for any contingency.
Start Your Autonomy Journey
DriveMod’s versatile autonomous transportation technology brings advanced self-driving capabilities and enhanced data insights to the vehicles you already own.