ADCU - Autonomous Driving Control Unit


Ecotron ADCU (Autonomous Driving Control Unit) serves as an intelligent computing platform for L3/L4 driverless applications. It integrates sensor data processing and sensor with control strategy development into a single control unit. ADCU contributes to structure and organize vehicle controller network. Our customers have applied our ADCU into various unmanned scenarios such as logistics, delivery, sanitation vehicles, mining vehicles, etc.


EAA1A01- Based on Black Sesame A1000 and Infineon TC397

Designed to Support L4 Autonomous Driving

EAA1A01 is an intelligent computing platform designed by Ecotron for autonomous driving systems. It equipped with Black Sesame A1000 chip and Infineon TC397 chip.  With basic software and development tools, developers can safely and efficiently build low-speed L4 autonomous driving systems in confined areas.

Black Sesame designs A1000 specifically for embedded intelligent systems. A1000 supports autonomous driving functions such as sensor fusion, environment perception, and path planning.

Infineon TC397 has a 6-core™ architecture and has an operating frequency of 300MHz. Moreover, it has 2.9MB + 16MB of RAM with ECC (error correction coding) protection.

Ecotron’s ADCU is designed based on the ISO26262 standard and supports ASIL-D safety level requirements. Engineers can develop vehicle control and functional safety-related strategies based on this product.


Local Development Tool Kit

Ecotron ADCU has a set of development tools installed on the local target, including gcc, make, CMake, catkin, Bazel and gdb debugger. Application developers can develop user space applications directly on the target controller.



EcoCoder-AI, Automatic Code Generation Tool

EcoCoder-AI is a powerful automatic code generation library added on MATLAB/Simulink that links directly to the target controller. EcoCoder-AI integrates automatic code generation, compilation and one-click generation of executable files. It can directly convert the Simulink models into an executable program for the target controller and download to the target controller. It enables the use of Simulink Library, and greatly facilitates controls engineers to graphically develop applications based on autopilot middleware.

Also, EcoCoder-AI enables the use of Simulink external mode to do on-the-fly calibration.

Interface Type Quantity Function Internal Chip Connector
M.2 KEY M 1 Expanded Storage SOC Internal
Camera 8 GMSL2 SOC Waterproof FAKRA
General Ethernet 2 100BASE-T/1000BASE-T Standard Switch 2*Circular Connector
Gigabit Onboard Ethernet 4 100BASE-T1/1000BASE-T1
3-way Switch, 1-way SOC
SOC 1*Circular Connector
RS232 4   SOC 121 PIN CMC
PPS_OUT 4 2-way 5V Output, 2-way 12V Output MCU
CANFD 8 2-way with Specific Frame Wake-up MCU
KEYON 3 1 Way for SOC, 2 Ways for MCU  
PPS 3 1-way Input, 2-way Output MCU
Digital Input 8 Default Setting, 4-way High Effective, 4-way Low Effective MCU
Analog Input 6   MCU
Digital Low-side Output 8 8 Ways @250mA MCU
Digital High-side Output 4 4 ways @1A MCU
5V Sensor Power Supply 2 Maximum Current 100mA MCU
3-Line IO 12 Ultrasonic Radar  
Positive Terminal 5    
Power Ground 6    
Signal Ground 8