Vision Follow Car: Autonomous Following Control Dataset for Embedded AI

An end-to-end imitation learning dataset for autonomous following control, created by DaliangAuto. The dataset is part of a project designed for learning AI workflows from data collection to deployment on embedded hardware like the Jetson Orin Nano and STM32. It was last updated on 2026-03-16.

Use Cases

• Training an end-to-end imitation learning model for vehicle control based on the described 'follow when target present, stop when absent' policy.
• Learning the workflow from data collection to real-time deployment on embedded hardware as described in the project.
• Developing autonomous following algorithms for robotics or vehicles based on visual input.

Strengths

• Dataset is part of a structured project designed for learning the full AI pipeline.
• Project description specifies target deployment hardware: Jetson Orin Nano and STM32.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.

Provenance

Source

DaliangAuto via Hugging Face.

Collection Method

Likely collected as part of the vision-follow-car project for imitation learning.

Time Range

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Freshness

Last updated 2026-03-16 01:58:23; freshness should be verified.

Geography

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