Aatonomy sees autonomous vehicles as inefficient and unsafe. That's why the Houston startup is doing something differently. Sean Pavone/Getty Images

When there isn't a global pandemic, nearly 7 million people drive around Houston, and an estimated 77,000 people commute for more than an hour and a half to work. Drivers spend $1,376 and waste 31 gallons of fuel a year — to sit in traffic for what adds up to 75 hours each year.

When Wilson Pulling moved to the city two summers ago, he set out to fix all that traffic-sitting using autonomously driven cars, but not the high-priced ones that Uber and Tesla have designed. These are your regular, three- or four-year-old Honda Civics and Kia Sorentos — the cars you already own.

In 2016, Pulling founded had Aatonomy with his partner, Yang Hu, based on their thesis work from Cornell's Computer Science program. Moving the company south after two years operating out of San Francisco, they aimed not to build the self-driving car of the future, but to make the cars that Houstonians are wading through congested freeways in today drive themselves.

"Everyone doesn't get to buy a Tesla. They're driving their Corollas," Pulling says. "The way autonomy is going right now, that person is never going to benefit. We are the only way."

The company's technology attaches a wireless receiver to the car, which has to be from at least 2016 to work with them. Then, Aatonomy places sensors all along the roads and streetlights. The sensors and receiver communicate with each other, and enable autonomous driving.

Imagine, Pulling says, a 30-mile of I-45 with Aatonomy's sensors. You'd roar up the freeway, handling the controls. Then, the car's computer, under guidance from Aatonomy's network of sensors, would take over. You'd sit back, the car will navigate the traffic along with the other cars — and if all the cars are autonomous, Pulling says, the algorithm could slash congestion. When your car exits the freeway, you'd take back control.

That stretch of freeway would cost $26 million for 200,000 commuters across Houston, Pulling says, but other self-driving cars cost around $250,000 per vehicle — summing up to $50 billion for those same commuters. And Pulling says the Aatonomy system is a safer bet than the way Uber's autonomous driving. Uber's car once killed a pedestrian because, somehow, the company didn't program it to avoid people jaywalking. But because Aatonomy will manage sensors all over the street, the company will be able to monitor potential accidents more quickly than an Uber car would.

"This is a really radically different approach to a technology that, frankly, a lot of people have lost a lot of faith in," Pulling says.

Aatonomy's approach requires a smart city commitment — but the city of Houston is already buying in. First, Aatonomy, a member of the Ion Smart and Resilient Cities accelerator's inaugural cohort, got a short-term project with Aatonomy and Verizon to mount intersection cameras for studying how to prevent collisions with pedestrians on the Northside.

Additionally, the city has also greenlit a two-year pilot with Aatonomy to automate a bus route in downtown Houston. The aim, Pulling says, is making a "proof-of-concept" before rolling out sensors across I-45 — but it's also to use Houston as proof that autonomous driving can be achieved, but from a different angle than Uber.

"Self driving cars don't work. That's our thesis," Pulling says. "That's why we're building self-driving cities."

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.