TomTom is on the forefront of the Autonomous Driving Revolution. With years of experience in production and delivery of quality maps and live services, we offer the right solutions to help this concept become reality.
With years of experience in production and delivery of quality maps and live services, TomTom offers the complete suite of functional components required to collect and fuse relevant data to produce, maintain and deliver a high-quality up-to-date vehicle environment map required by autonomous driving applications. Via its world-class routing and navigation software components, TomTom delivers key functions within the Vehicle mission control and UI system.
Driving is a complex task that requires constant perception, awareness and decision-making, and poses numerous challenges for human drivers. These include dealing with adverse weather conditions, traffic congestion, unsafe or unpredictable behaviour from other road users, changes to the road network and managing co-passenger or cargo limitations. Driving tasks must also operate within limits of vehicle dynamics while simultaneously attempting to minimise energy consumption and monitoring performance, automation systems and, possibly, the users of the vehicle.
Autonomous Driving systems aim to make driving safe, comfortable and efficient. The illustration on the right shows the functional blocks that TomTom believes are necessary for an Autonomous Driving application, and where TomTom can contribute.
The lowermost control layer in the Autonomous Driving application is the Vehicle Platform system, comprising of Sensors, Actuators and Control functions that help execute vehicle motion. This layer also represents the functions responsible for “passive safety” related actions within the vehicle.
A Cognitive Vehicle Driving Intelligence system represents the functions responsible for “active safety” related actions within the vehicle. The Vehicle Environment Map is a consolidation of all the elements that the vehicle sees (or experiences) around itself. These elements are the road network and infrastructure with low, mid or even extremely high level of detail, landmarks, obstacles, road traffic situations, weather conditions, and constraints imposed by these elements (speed, direction, height, etc.).
Both static and dynamic information layers form part of the vehicle environment map. Functional blocks within the Cognitive Vehicle Driving Intelligence system access (or provide access to) the environment map. Vehicle horizon constructors and vehicle ECUs that provide various level of automation features also reside within the Cognitive Vehicle Driving Intelligence system.
The system houses client software that updates the vehicle environment map layers from the cloud, keeping them fresh and relevant. It provides the functions of position determination, destination search and routing. The system is also responsible for interface with the user(s) and visualises the vehicle state and its driving conditions to facilitate information transfer and driving task fallback situations where and when necessary.
The system operates in the cloud, feeding the vehicle through over-the-air map updates and live services that layer over the map to represent dynamic information in the vehicle’s environment. The vehicle (via its sensors) and other sources (e.g. other vehicles in the vicinity, map making companies, other drivers or community of road users) feed content back into the cloud-based system helping it to keep content updated and relevant to real-time conditions. Data collection and fusion, analytics and access management functions running in the cloud also form part of the mapmaking and services system.