Division 03 · Autonomous Vehicles

RBCar

Autonomous vehicle systems powered by NVIDIA Jetson and Intel RealSense depth cameras — depth-aware navigation built for real-world roads, logistics yards, and controlled environments.

Self-Driving, Tunisian-Made

RBCar is our flagship autonomous vehicle prototype — built from scratch on the NVIDIA Jetson Nano platform with Intel RealSense depth perception, enabling real-time obstacle detection and path planning.

Starting as our very first prototype, RBCar laid the foundation for everything RBLink builds today. It proved that autonomous depth-based navigation is achievable with accessible hardware — and scalable.

Real-time depth-based obstacle avoidance
NVIDIA Jetson Nano compute platform
Intel RealSense stereo depth camera
Lane detection and path planning
Remote teleoperation capability

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Gallery

Prototype in Motion

Field testing images from the RBCar autonomous vehicle program — our original prototype that started it all.

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RBCar prototype — outdoor navigation test on paved surface

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Intel RealSense D435 depth map — real-time 3D obstacle field

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Jetson Nano compute unit — onboard processing and inference

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Milestones

Our Achievements

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First Prototype

RBCar was RBLink's very first autonomous robot — built and driven successfully in 2024, proving the core depth-navigation concept works on Jetson hardware.

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Obstacle Avoidance

Achieved reliable real-time obstacle detection and avoidance at up to 2m/s using Intel RealSense depth data — zero collision rate in controlled testing.

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Onboard AI

Deployed object classification model on Jetson Nano at 15fps — pedestrian, cone, and vehicle classes detected and acted on in real time.

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Foundation for RBLink

The lessons from RBCar directly shaped the architecture of our full robot platform — now used across RBIndustry and RBHome divisions.

Technical Specs

Hardware Stack

Component	Specification
Main Computer	NVIDIA Jetson Nano (4GB)
Depth Camera	Intel RealSense D435 (stereo IR)
Drive System	4WD brushed DC motor chassis
Motor Controller	PWM-based H-bridge (ESP32)
Power	12V LiPo — 3h drive time
Navigation	Custom depth-map path planner (Python + OpenCV)
AI	TensorRT-optimized object detection (Jetson)
Teleoperation	WiFi UDP stream + keyboard/gamepad control

Interested in RBCar?

For logistics, research, or custom autonomous vehicle deployments — let's talk.

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