The AVTech Class aimed to provide Maui students with hands-on knowledge and experience in Autonomous Vehicle Technology, covering architecture, structures, and the construction of scaled autonomous vehicles. Gary Passon's ongoing role as AI Motorsports PI provides valuable leadership continuity, reinforcing the team's dedication to technical excellence and innovation. Together, all four universities are committed to upholding a tradition of excellence and advancing the field, as evidenced by their remarkable journey and achievements. Yang is the Executive Director of the FHL Vive Center for Enhanced Reality at UC Berkeley. With over 20 years of experience in automation and robotics, Dr. Gary is the on the ground day to day team lead. The manufacturer’s Autonomous Vehicle (AV) series is based on the classic carbon-composite Indy NXT chassis – similar in size, weight, and performance to racecars Indy drivers have driven to victory, with one major distinction: no driver’s seat. Instead, the cockpit is outfitted with specialized hardware and high-performance controls to provide complete driverless operation.
Kahului, United States
Founded in 2020
1-10 Employees
Startup
Working industry
Automotive
Type of company
Manufacturer
Ownership structure
Nonprofit
Locations
1 Headquarter
Specialised areas
Autonomous vehicles, ROS, Automotive
An estimation about the ESG values based on digital data and signals. Important: The ESG scores are only based on information about the country, not the actual company itself
Country:
United States
Overall risk estimation:
Low
The ESG Data of countries are based on public sources
Environment
D
Grade (A-E)
View details
Social
A
Grade (A-E)
View details
Governance
A
Grade (A-E)
View details
AI Racing Tech operates in 1 country around the world
Get an overview of the locations of AI Racing Tech
Location
Country
State
City
Headquarter
United States
Hawaii
Kahului
Some frequent questions that have been asked about AI Racing Tech
Where is AI Racing Tech located?
The company headquarter of AI Racing Tech is located in Kahului, Hawaii, United States. It's worth noting, that the company may have more locations
How many employees does AI Racing Tech approximately have?
As of the latest available information AI Racing Tech has around 1-10 employees worldwide.
When was AI Racing Tech founded?
AI Racing Tech was founded in 2020
In which industries does AI Racing Tech mainly work?
The company AI Racing Tech has it's main focus in the industries of Automotive
What is the current company status of AI Racing Tech?
Based on the founding year and the amount of employees the company AI Racing Tech seems to be a Startup at the current state. Note that over time that status can change
Check out some interesting alternative companies to AI Racing Tech
Pegasus - Indy Autonomous Challenge
Fort Collins, United States
1-10 Employees
2020
The IAC is a broadly collaborative effort that brings together public-private partnerships and academic institutions to challenge university students around the world to imagine, invent and prove a new generation of automated vehicle software to run fully autonomous racecars and inspire the next generation of STEM talent. In addition, the competition is a platform for students to excel in STEM. The IAC is advised by experts in the fields of automotive engineering, automated vehicles, robotics, education, entrepreneurship and auto racing. The IAC AV-24 is the most technologically advanced, fastest autonomous racecar ever assembled with a bullet-proof package of equipment, including a host of lidar, radar and optical cameras sensors, converging with screamingly quick on-board rugged-edge computing and communications, coupled with cutting-edge artificial intelligence algorithms.
Monash Connected Autonomous Vehicle
Melbourne, Australia
11-50 Employees
2018
MCAV is the premiere engineering student team developing autonomous vehicle and intelligent transport technologies, from Monash University. The Monash Connected Autonomous Vehicle (MCAV) team is a diverse and dynamic group, structured into various specialised sub-teams. Each team contributes to the overall mission of advancing autonomous vehicle technology with its unique focus and expertise. Together, these teams embody the collaborative spirit and innovative drive of MCAV, working in tandem to shape the future of autonomous vehicles. To research and develop innovative and practical connected autonomous vehicle and smart transport network technologies. Custom-built Electric Self Driving Automobile (ESDA) for the Intelligent Ground Vehicle Competition in Michigan, USA. MCAV is a multi-disciplinary team, harnessing the strengths of all team members across the university. If you believe you have unique skills to offer, we encourage you to apply and join our innovative team!
Native Design
London, United Kingdom
51-100 Employees
1997
The Autonomous Vehicle Simulator is the result of a seismic shift in mobility thinking. From Research & Analysis to Science and Engineering, we are a fully integrated design company innovating across physical and digital disciplines.
University of Michigan Autonomous Robotic Vehicle
Ann Arbor, United States
11-50 Employees
2016
Award-winning autonomous vehicles project team at the University of Michigan. Autonomous vehicles are the foundation of the future of transportation, and we are ready to meet the challenges of tomorrow.".
McMaster Engineering EcoCAR Challenge
Hamilton, Canada
51-100 Employees
2018
We are North America’s premier collegiate automotive engineering competitions. Established in 1988 as a partnership between the U.S. For 35 years, AVTCs have provided students with real-world, hands-on experience tackling the latest engineering challenges. Sponsors provide the hardware, software, training and support the teams need to integrate technologies into their competition vehicles.
WATonomous
Waterloo, Canada
51-100 Employees
2017
WATonomous is a student design team at the University of Waterloo at the forefront of design, creation, and neural training for autonomous self-driving vehicles. We are proud to have finished 2nd place in the SAE AutoDrive Challenge, an international competition to build a Level 4 autonomous vehicle in four years. Looking ahead, we are excited to pursue more opportunities, including several research projects, the Indy Autonomous Challenge as a part of the MPRW joint team, and the EcoCAR EV Challenge, in collaboration with the UWAFT student design team. We are currently in the process of developing multiple research projects. Environment modeling is the backbone of how autonomous agents understand the world.
