Amazon Prime Air drones will fly into College Station later this year. Photo courtesy of Amazon

A Houston neighbor will be among the first in the nation to test pilot a game-changing delivery system. Amazon has announced plans to deploy its state-of-the art Prime Air drone delivery in College Station, Texas later this year.

The online juggernaut is already reaching out to College Station customers, telling them that they’ll soon receive free and fast drone delivery on thousands of everyday items. The deployment marks the largest selection of items to ever be available for drone delivery, per Amazon. College Station joins Lockeford, California as targeted test sites for drone launch.

“We are impressed with so many aspects of College Station,” notes an Amazon blog post announcing the news. “The innovative research conducted by Texas A&M University, the small-town feel, and the sense of community that is clear from the minute you arrive in town all make it a very special place.”

Jeff Bezos’ empire plans to also collaborate with the Aggies on tech. “We are thrilled about the opportunity to launch this service in College Station and partner with the city and its world-class university on some of the great work they’ve been doing in the area drone technology,” the post adds.

How will it work? Once onboarded, College Station customers can then view Prime Air-eligible items on Amazon, where they can place orders and receive an estimated arrival time with a status tracker for their order.

Amazon Prime Air’s New Delivery Dronewww.youtube.com

Drones will then fly to the designated delivery location, descend to the customer’s backyard, and hover at a safe height. The drones will then safely release the package, rise back up to altitude, and return to base, per Amazon.

Amazon is touting the difference of its drone fleet versus the masses. Prime Air drones fly up to 50 miles per hour, up to an altitude of 400 feet, and carry packages of up to 5 pounds.

Unlike most drones, Amazon notes, Prime Air drones utilize a sophisticated, sense-and-avoid system allowing them to operate at greater distances while safely and reliably avoiding other aircraft, people, pets, and obstacles. That means the drones can identify objects such as aircraft, birds, or static places such as trees and chimneys, avoid them, and select a safe space to land and later, safely leave.

“Being one of the first drone delivery locations for Amazon puts College Station at the forefront of this exciting technology,” said John Sharp, chancellor of The Texas A&M University System, in a statement. “What happens here will help advance drone delivery for the rest of the country and perhaps the rest of the world. We welcome Amazon to our community and stand ready to assist however we can.”

College Station, Amazon promises, will benefit by more than just speedy, environmentally friendly delivery. “We’re bringing more than drone delivery to Lockeford and College Station,” notes the Amazon blog. “Through these Prime Air drone deliveries, we will create new jobs, build partnerships with local organizations, and help to reduce the impact of climate change on future generations.”

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This article originally ran on CultureMap.

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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.