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South Korea to deploy over 100 new self-driving cars for testing
South Korea will introduce over 100 new self-driving cars in a designated city for expanded testing, according to a government plan announced on November 25.
The initiative, announced by the Ministry of Land, Infrastructure and Transport and other related ministries, aims to boost South Korea’s autonomous vehicle sector to better compete with the US and China.
The government will select a city by early 2026 and use the vehicles to collect driving data, building on previous deployments of 132 autonomous cars across 47 testing zones nationwide.
So far, these vehicles have covered 13 million kilometers, compared to 160 million kilometers by Waymo in the US, and over 100 million kilometers by Baidu in China.
Planned changes include allowing local mayors and governors to designate testing zones, expanding autonomous bus trials in rural areas, and easing regulations on using unedited video data for research.
The government will also fund research infrastructure and aims to advance its autonomous driving technology to Level 4 by 2027.
🔗 Source: The Korea Times
🧠 Food for thought
Implications, context, and why it matters.
- South Korea has 13 million kilometers of autonomous driving data, far below Waymo’s 160 million and Baidu’s 100 million+, limiting safety checks and algorithm tuning.
- Strengths sit in autonomous driving chips and simulation testing 1, plus 1,400+ test vehicles in 2023 1, a broader tally than the 132 in designated zones.
- Giving mayors and governors power to set testing zones puts decisions with municipalities. That builds on rules allowing public road tests since 2016 1. The 2027 Level 4 (L4) goal means high automation where a vehicle can drive itself within defined conditions without human intervention. It aligns with Third Automotive Policy Master Plan targeting L4 commercialization and L4 passenger vehicles by 2027 1.
- Looser rules on unedited video for research give developers raw training sets, spurring demand for storage, anonymization, and labeling for 100+ new vehicles.
- MLOps plus data pipeline vendors can ride AI Framework Act (an umbrella law that sets governance requirements for high-impact AI systems) duties for documentation and transparency 2. Operators need provenance tracking plus model evaluation that meet the law.
- Government research funding with the AI Safety Institute (a national body charged with developing AI risk analysis methods and evaluation criteria) 3 opens procurement for safety validation platforms and scenario simulation tools. Vendors in cloud or data security can use ISO 42001 (an international standard for AI management systems) plus the institute mandate 3 to sell into autonomous vehicles and other high-impact AI like hiring and loan screening.
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