AGRICULTURE
Automated Driving Systems (ADS) for Rural America
Aerial Robots from Penn Engineering
Automated Truck Control
Automobile Automated Driving
University of Waterloo Autonomoose
Autonomous Vehicle Development
Blind Driver Challenge
Bus 2.0
Cohda Wireless CAV
Data Storage for Neural Network Training
Ground Unmanned Support Surrogate (GUSS)
Intersection Decision Support
Massive Datasets for Climate Science Shared Globally by NASA
NASA Competition
Putting Data to Work: Apex.AI
Showroom style sensor integration
Small Unmanned Ground Vehicle
University of Cincinnati Next Mobility Lab
University of Illinois Center for Autonomy
Intelligent Mobility at the University of Nevada, Reno
University of North Texas: Expanding CAV capabilities
Large Unmanned Ground Vehicle Technology
Blind Driver Challenge
“Our partnership with Autonomoustuff was the key to our success in the Blind Driver Challenge project. Their timely technical support delivery and their ‘do whatever it takes attitude’ has made it easy for us to purchase key components for this project. A successful project requires strong partners and AutonomouStuff is one of them.”
-Dennis Hong Founding Director of RoMeLa: Robotics & Mechanisms Laboratory at Virginia Tech
AutonomouStuff a leading product supplier of automotive perception technologies is pleased to announce its products are being used in developing the next generation of NFB Blind Driver Challenge vehicles. The purpose of the NFB Blind Driver Challenge™ is to stimulate non-visual technological innovation through the NFB Jernigan Institute.
The goals of this initiative are:
- To establish a path of technological advancement for nonvisual access technology and close the gap between access technology and general technology.
- To increase awareness among the university scientific community about the “real problems” facing the blind by providing expertise from the perspective of the blind within the context of a difficult engineering challenge.
- To demonstrate that vision is not a requirement for success and that the application of innovative nonvisual solutions to difficult problems can create new opportunities for hundreds of thousands of people—blind and sighted.
- To change the public perceptions about the blind by creating opportunities for the public to view blind people as individuals with capacity ambition and a drive for greater independence.
Torc’s By-Wire XGV vehicle was integrated with three ibeo LUX LiDAR sensors that provide the blind driver feedback of the environment in front and behind the vehicle. The scanning data is transferred to the non-visual interface used to assist the driver in making the correct driving decisions. To learn more about this technology you can view videos on our YouTube channel.
The NFB Blind Driver Challenge was taken on by Dr. Dennis Hong and the Robotics and Mechanisms Laboratory (RoMeLa) at Virginia Tech.
The challenge has gained national exposure and was featured on the TODAY Show and MotorWeek.
You can view the latest updates on the blind driver challenge blog:
http://blinddriverchallengevt.blogspot.com/