Imagine machines that can see, understand, and make decisions in real time. TTCONTROL’s Emerging Technologies team makes that vision a reality.
We help you integrate AI-powered perception, sensor fusion, and autonomous assistance into your mobile machinery—so you can deliver smarter, safer, and more efficient machines to your customers.
What you gain
Smarter Machines, Ready for the Field
Equip your machines with real-time object detection, depth sensing, and drivable area recognition—powered by AI and tailored to your environment. Our frameworks support multi-modal sensors (Radar, Lidar, Camera) and are highly portable between TTCONTROL hardware platforms. The framework is based on ROS 2.0 and makes optimal use of the Hailo AI accelerator of our Fusion. The workflow for creating new applications and adapt the models to the customer need is based on Azure MLOps.
A Flexible, Customizable Framework
You get a fully open and adaptable perception framework that works with your choice of sensors (Radar, Lidar, Camera) and compute platforms (Hailo, NVIDIA, x86). Our architecture supports several sensor combinations and is easily extendable to semantic segmentation and drivable area recognition use cases.
Continuous Improvement, Built In
With our Azure-based MLOps pipeline, you can continuously improve your AI models—collecting data, retraining, and deploying updates with ease. Local development environments are shipped as Docker, supporting configuration, customization, and diagnostics.
Seamless Integration
Our modular architecture ensures smooth integration with your existing ECUs, HMIs, and connectivity systems—including third-party products.
Built for OEMs who want to lead
Whether you're exploring autonomous features or adding operator assistance functions, Emerging Technologies gives you:
- A head start on autonomy
- Reduced development time and cost
- A competitive edge in your market
Join the innovation network
In the Autonomous Operations Cluster, we collaborate with leading OEMs like Ammann, Palfinger, Prinoth, and Rosenbauer to co-develop reusable technologies that drive the future of autonomy. We pool resources and establish a cross-industry network for know-how sharing and reduced development times, focusing on robust hardware, modular software, and customized application functions.
Customizable object detection
ROS 2 based stack, optimized for embedded targets, with a highly configurable “machine learning pipeline” to implement customer-specific use cases.
Appliance detection, in the showcased example: waste bin detection.
Optimized people detection to decrease blind spots and collision risks in complex off-highway environments like construction or agriculture.
Additional customizable detection classes like animals or other “objects of interest”.
Application Examples
Applications where TTCONTROL can support you with embedded, AI-powered, and robust hardware and software stacks, as well as engineering services.
Collision avoidance
Real-time detection of hazards to improve safety
Autonomous path planning
Intelligent navigation in dynamic environments
Spraying & process monitoring
AI-based monitoring of agricultural operations
Comprehensive approach
The system-level approach defines requirements for the entire application including hardware platform, sensors and algorithms. It ensures a strong partnership along the entire development phase from prototyping to market introduction.
Get in touch with our sales representatives for receiving further details at products@ttcontrol.com.
