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|
|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
|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|
|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|