Yahboom 3m*2m AI Visual Automatic Drive Track Map (Dual-Track) for AI Camera Smart Cars

Overview

The Yahboom AI visual automatic drive track map (up to 3m*2m) is designed for AI autopilot/automatic driving experiments with most AI camera smart cars. It uses a dual-track layout with reference markings (white dotted line and yellow solid side lines) to help guide and control the vehicles movement direction during visual tracking.

Compared with an ordinary circular track, this map includes 90 right angles, different degrees of corners, and a simulated sidewalk to support more varied driving scenarios.

Key Features

• Large size dual track, designed for AI automatic driving
• Reference lines for visual tracking: white dotted line + yellow solid lines on both sides
• Track design includes 90 right angle bends, continuous curves, and simulated sidewalks
• Suitable for most AI camera smart cars; supports JETBOT automatic driving workflows (model training then autonomous driving on the track)
• Durable material described as tarpaulin; tracking parameters list waterproof cloth

Specifications

What’s Included

• AI visual automatic drive track map *1

Applications

• AI camera car visual line following and autopilot training
• Dual-track passing, double-track driving, and two-car racing scenarios
• Testing corner cases with right-angle turns, multi-radius curves, and simulated sidewalk sections

For product selection help or after-sales support, contact https://rcdrone.top/ or email [email protected].

Track Map Purchase Guide (Reference)

The purchase guide graphic lists the following track map options (representative Yahboom products):

Details

Choose the right track map by difficulty level and sensing method, from infrared line following to vision, SLAM, and large-model scenarios.

A compact L1 paper track is ideal for entry-level infrared line-following experiments.

Step up to a larger waterproof canvas track for multi-channel infrared tracking practice.

Mini autopilot maps add vision recognition and traffic-sign training in a smaller footprint.

Higher-difficulty autopilot maps support model training plus SLAM-style road-network navigation.

Scenario sandbox layouts are designed for complex logistics and inspection workflows.

The 3 m 2 m dual-track layout adds right angles and varied curves for more realistic autonomous-driving practice.

High-contrast lane markings help vision modules lock onto direction cues during visual line following.

After training a model, the same course can be used for hands-off autonomous laps and repeatable testing.

White dotted guidance plus yellow side lines provide stable references for steering control and lane keeping.

Dual lanes make it easier to practice passing, two-car racing, and multi-vehicle behaviors.

The mat lays flat for quick setup in classrooms, labs, or home workspaces.

Key parameters include a 2 m 3 m size, two tracks, 90 corners, and 20 cm single-lane width on waterproof cloth.