GDCU35B ADAS Domain Control Unit

The GDCU35B ADAS Domain Control Unit is equipped with an ASIL D multi-core safety MCU and two high-performance ASIL B SoC with the total AI computing power of 256TOPS, supporting Fail-operational design. It supports access to comprehensive sensor types (including lidar,millimeter wave radar, ultrasonic radar, camera and MIC), provides rich communication interfaces, and has a built-in U-blox F9K multi-band high-precision inertial navigation module and an IMU module. With GDCU35B, you can develop AD/ADAS applications for driving, parking scenarios and intelligent cockpit, which helps shorten time-to-market. It is ideal for development, evaluation and concept verification demonstration.

A Scheme Based on Double Journey™5
as Main Computing Unit

MCU

Infineon AURIX™ TC397，6 × 32-bit TriCore @300MHz

SoC

2 × Horizon Robotics Journey™ 5, each SoC：

BPU: Dual-core Bayes-architecture, computing power up to 128TOPS
CPU: 8 × Arm^® Cortex^®-A55@1.2GHz

Weight

Approx. 2.53 kg (Liquid Cooling)

Approx. 2.97 kg (Air Cooling)

Memory

4 × 4GB LPDDR4,4266Mbps

2 × 64GB eMMC

2 × 64MB NorFlash

Dimensions(L×W×H）

Liquid Cooling: 366mm x 219.5mm x 36mm

Air Cooling: 366mm x 219.5mm x 52.5mm

Operating Temperature

-40℃ ~ +85℃

Storage Temperature

-40℃ ~ +105℃

Communication Interfaces

4 × 100BASE-T1

3 × 1000BASE-T1 (1 can be configured as 1000BASE-T/RJ45)

12 × CAN FD transceiver, including:

TC397 supports 6-channel CAN FD and 1-channel CAN FD with arbitrary frame wake-up function J5A supports 3-channel CAN FD and 1-channel CAN FD with arbitrary frame wake-up function J5B supports 1-channel CAN FD with arbitrary frame wake-up function

Debug Interfaces

USB2.0,Micro Bｘ1 (J5A UART)
USB2.0,Micro B x 1 (J5B UART)
USB2.0,Micro B × 1 (TC397 UART)
1 × RS232 (J5A UART)
1 × RS232 (J5B UART)

Video Input

14 × GMSL2, 84Gb/s

Video Output

2 × GMSL2, 6Gb/s, 1 for bypass output,1 for J5 output

PPS

1 × PPS In
1 × PPS Out

Operating Voltage

DC 9~36V

Quiescent Current

<100uA

Cooling Method

Liquid Cooling/Air Cooling

IP Code

IP52

Recommended Installation Position

Cabin, Trunk

Application of object recognition algorithm in autonomous driving scenario based on YOLOv5x on GDCU35B

Algorithm function: Object detection is the core module of autonomous driving technology.

When the detection algorithm is deployed, it is necessary to ensure both a small loss of

algorithmic accuracy and fast enough algorithmic operation.

The demo shows the detection results of the quantified YOLOv5x model on GDCU35B.
After the optimization of the algorithm toolchain, the accuracy loss of the fixed-point model

is about 1 point compared to the floating-point model, and the model on the Journey™5

can run at an FPS of about 75, which meets the real-time requirements of autonomous driving.

Technical Documentation