Skip to content

Latest commit

 

History

History
91 lines (64 loc) · 6.69 KB

File metadata and controls

91 lines (64 loc) · 6.69 KB

Autonomous Driving Hardware Support Matrix

This document provides an industry-aligned overview of hardware supported by our autonomous driving software stack. It draws on best practices and widely adopted sensors and compute platforms in the autonomous vehicle domain.


1. Compute Units

Our software stack supports a range of edge computing devices commonly used for on-vehicle inference and control.

Model Image Supported Notes
Raspberry Pi 5 Yes Suitable for prototyping, limited AI performance
D-Robotics RDK™ X5 No Custom robotics development kit
D-Robotics J6 No Under evaluation
NVIDIA Jetson Orin Nano Yes Quad-core ARM CPU + 60 TOPS AI accelerator
NVIDIA Jetson Orin NX Yes 100+ TOPS, ideal for mid-tier autonomous features
NVIDIA Jetson AGX Orin Yes 275 TOPS, high-end performance
NVIDIA Jetson AGX Xavier Yes 32 TOPS, established in robotics
NVIDIA Jetson Xavier NX Yes 21 TOPS, compact form factor
NVIDIA Jetson TX2 Yes Legacy platform, still supported
NVIDIA Jetson Nano Yes Entry-level AI, suitable for simple tasks

2. LiDAR Sensors

High-resolution LiDAR sensors are critical for 3D environment perception.

Model Image Supported Notes
Velodyne VLP-16 Yes 16-channel, 100m range
Ouster OS1 Yes 128 channels, high-resolution point cloud
Hesai Pandar64 Yes Long-range, 200m
Livox Horizon Yes Mid-range, non-repetitive scanning
RoboSense RS-LiDAR-M1 No Under integration

3. Cameras

Visual sensors for object detection and lane tracking.

Model Image Supported Notes
FLIR Blackfly S Yes Global shutter, up to 20 FPS at full res
Basler Ace U Yes GigE interface, low latency
Huawei HiLens SmartCam Yes On-board AI acceleration
Logitech C920 No Consumer-grade, research only
ZED 2 (Stereo) Yes Stereo depth camera, integrated IMU

4. Positioning Devices (GNSS/INS)

Precise localization modules combining GNSS and inertial navigation.

Model Image Supported Notes
NovAtel OEM7 Yes Centimeter-level RTK
u-blox ZED-F9P Yes Multi-band RTK
Hemisphere S321+ No Under evaluation
VectorNav VN-300 Yes Tight-coupled GNSS/INS

5. Millimeter-Wave Radar

Short-range and long-range radar for collision avoidance and speed estimation.

Model Image Supported Notes
TI AWR1642 Yes 76–81 GHz, radar-on-chip
NXP MR2001 Yes Short-range automotive radar
Continental ARS408 No OEM integration pending

6. By-Wire Vehicle Interfaces

Actuation interfaces for steering, braking, and throttle control.

Model Image Supported Notes
ClearMotion CM Autonomy Yes CAN-based drive-by-wire
EPIC Autonomous Kit Yes Integrated steer-by-wire and braking control
Faurecia X-by-Wire No Under evaluation

For any hardware not listed or further integration inquiries, please contact the hardware integration team.