When designing sensor mountings for low-speed autonomous vehicles, Turing Drive’s design philosophy focuses on two key elements: Versatility and Stability. The design of the LiDAR and camera mechanism is based general compatibility. It aims to design the integrated components so that it can adapt to the roofs of different vehicle models. This means that regardless of the size and shape of the vehicle’s roof, the same bracket can be applied, eliminating the need to redesign customized brackets for each vehicle. The design of the IMU’s bracket mechanism also focuses on versatility, making it easily applicable to the center of the rear axle of different types of vehicles. This design allows the IMU to be installed on various vehicles and remains intact even shaky environments. This is the same for the installation of sensors to ensure minimal skew during dynamic driving.

To meet the needs of various domains, we have developed our own unique operations management system specifically for autonomous vehicles with modular functions to allow customization.

Take scenic areas as an example, we provide comprehensive site management solutions. From map information and route planning to providing dispatching information to end users, the station manager can monitor vehicle statuses in real time to ensure operational efficiency and safety of their passengers.

In the event of an emergency, our remote monitoring function can alert the operator as well as controlling the vehicle to a designated location for troubleshooting. These events are also recorded and stored in the cloud as standard safety protocols.

Building on the foundation of a modular design, each functional module is an independent and configurable unit. This makes our system agile, scalable and can be tailored according to the customers’ use case.

Turing Drive’s autonomous driving system allows the vehicle to maintain precise control under different payloads, and as such, its dynamic performance will vary. This difference is evident between loaded and unloaded vehicles on heavy-duty vehicles. We have incorporated a compensation mechanism for different loads into the automatic driving control module, allowing the system to correct the control commands according to the expected difference in the actual vehicle power performance, ensuring that the vehicle does not exhibit unpredictable behavior due to increases or decreases in load.

In practical applications, the advantages of this feature are fully reflected in heavy-duty vehicles. These vehicles such as ore or steel transportation may face huge load differences in different rounds. Our autonomous driving system ensures that the vehicle can operate safely no matter what load state it is in through intelligent perception and control. Maintaining stable operating speed and safety ensure the accuracy of vehicle dynamics and task completion.

Our fail-safe feature is activated depending on the type and extent of the issue. During normal operation, our autonomous systems continuously monitor the environment. Once an abnormality is detected, the system will evaluate whether it is necessary to activate the fail-safe mechanism and react according to the situation, such as slowing down, stopping or moving to a safer location.

Our fail-safe system will issue a “Response To Intervention” (RTI) signal in the event of an incident, indicating the need for manual intervention. This may include complex traffic conditions or system failures. When manual intervention is not possible, the system will turn to “Minimal Risk Manoeuvre” (MRM) to put the vehicle into a safe state, such as controlled parking or away from complex traffic roads. Once the vehicle is in a safe state, the system will continue to maintain “Minimal Risk Condition” (MRC) to ensure that the vehicle is safe until further safety measures are taken.