Danh Phan.
PERSONALAI AGENTCUSTOM MANAGEMENT SYSTEM•Research

Autonomous RC Vehicle with Edge Computer Vision & Telemetry

Edge-computed autonomous 1/10th scale rover equipped with lane-following vision, obstacle avoidance, and real-time WebRTC video streaming.

Key Outcome: Autonomous navigation at 18 km/h
Autonomous RC rover hardware and telemetry dashboard

Quick Facts

Timeline / Year
2026
My Role
Lead Engineer
Industry
Research
Core Stack
Raspberry Pi, OpenCV, PyTorch

The Business Problem

Developing robust edge robotics algorithms on resource-constrained micro-computers requires tight synchronization between high-speed camera sensors, motor microcontrollers, and wireless control protocols.

Implemented Solution

Built a modular autonomous rover platform featuring Raspberry Pi edge inference, lightweight CNN models for lane tracking, ultrasonic depth arrays for failsafe stopping, and low-latency WebRTC teleoperation.

Role & Responsibilities

Robotics & Embedded AI Engineer: Built hardware wiring harness, trained perception neural network, and wrote real-time telemetry dashboard.

Architecture & Implementation Details

Trained a quantized MobileNet backbone to predict steering angles directly from monocular video frames, communicating with motor controllers via PWM over I2C at 50Hz update rates.

Verified Outcomes & Business Impact

Achieved continuous autonomous track navigation at speeds up to 18 km/h with sub-80ms control loop latency.

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