Decades before the race to build a self-driving vehicle became a multibillion-dollar contest between tech giants such as Tesla Inc and Google, a South Korean professor built an autonomous vehicle and test-drove it across the country — only for his research to be consigned to the scrapheap.
Han Min-hong, now 79, successfully tested his self-driving car on the roads of Seoul in 1993 — a decade before Tesla was even founded.
Two years later, it drove 300km from the capital to the southern port of Busan, on the most heavily traveled expressway in South Korea.
Footage from the period shows the car barreling down a highway with no one behind the wheel. A 386-chip-powered desktop computer, complete with monitor and keyboard, is placed on the passenger seat. Han is sitting in the back, waving at the camera.
“It felt extraordinary,” the affable inventor said. “The workload was very heavy,” but he and his team “had an enormous passion as it was something others hadn’t done yet, something that hadn’t come out in the world yet.”
At the time, South Korea was more focused on heavy industry, such as steel and shipbuilding, with the average South Korean not yet familiar with cellphones.
The country was yet to become the tech powerhouse it is today, and was still pursuing imitation rather than innovation.
On one occasion, Han was told: “Why develop a new technology when you can always pay for it?”
Han’s projects were seen as dangerous. He was once asked how much he was paying for his life insurance, he said, and whether his wife was aware of “these crazy activities of yours.”
However, Han was so convinced of his cars’ safety that he rarely wore a seat belt — and has never had life insurance.
Even so, unable to see much investment potential, the government eventually cut funding to his research at Korea University.
Now, Elon Musk’s electric-vehicle firm Tesla is a US$600 billion behemoth, while Han’s Chumdancha is a small company in Yongin, south of Seoul, where he and one other employee develop specialist warning systems for autonomous vehicles.
Musk is a “tremendous and outstanding” person, Han said. “He came up with his own, firm vision based on what others were doing, and that is really incredible.”
However, Han’s invention could have paved the way for South Korea to dominate the industry, he added regretfully.
Raj Rajkumar, an engineering professor at Carnegie Mellon University’s Robotics Institute, who reviewed the 1990s footage for Agence France-Presse, said that it “appears to be on par with some of the best work on autonomous vehicles during that period.”
“The professor and a colleague are not even in the driver’s seat — very bold, confident, but very risky thing to do,” he added. “It is unfortunate that funding for that project was cut. In hindsight, that was certainly not a wise decision.”
Korea University described Han as “a pioneer and hero in the global field of artificial intelligence,” who is known for developing South Korea’s first automotive navigation system and a mini-helicopter seen as a precursor to modern-day drones, as well as his autonomous vehicle work.
He is seen in the country as a genius ahead of his time — the 1990s footage has been viewed more than 1.5 million times since it was posted to YouTube in February.
Self-driving vehicles are a major technological battleground for today’s automakers, with technology giants like Google parent Alphabet Inc spending billions of dollars in a market that is supposed to fuel vehicle sales.
Tesla last year said it was “very close” to achieving Level 5 autonomous driving technology — which indicates essentially total autonomy.
However, Han said the US firm’s current offerings are effectively comparable to his 1990s work.
“As Tesla is regarded as the best car in the world, if there is a chance, I would like to compare our technology to theirs,” he said.
He suggested a challenge on the Bugak Skyway, a twisting, narrow road that runs over a mountain in northern Seoul.
“Of course, Tesla’s invested a lot of money in testing, so it might be much better when it comes to sophistication,” he told reporters. “But there shouldn’t be much difference when it comes down to basic functionality.”
Even so, Han said there are limits to what self-driving technology can achieve, and that true autonomy is beyond reach.
Neural networks do not have the flexibility of humans when faced with a novel situation that is not in their programming, he said, predicting that self-driving vehicles would largely be used to transport goods rather than people.
“Computers and humans are not the same,” he added.
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