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UrduThe novel Multiple Integer Candidates Ambiguity Resolution (MICAR) algorithm harmonizes Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) under the Best Integer Equivariant (BIE) estimator, promising a transformative impact on navigation and positioning systems.
Tag: Autonomous Vehicles
From floats to fixes: unifying ambiguity resolution in satellite navigation
The novel Multiple Integer Candidates Ambiguity Resolution (MICAR) algorithm harmonizes Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) under the Best Integer Equivariant (BIE) estimator, promising a transformative impact on navigation and positioning systems.
Tennessee institutions partner to develop dependable AI for national security applications
At the Tennessee Valley Corridor Summit 2024 in Nashville, Tenn., on Wednesday, Vanderbilt University and Oak Ridge National Laboratory announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
GW Expert: Self-Driving Taxi Service Waymo Expands into Two California Cities
Waymo, Alphabet’s robotaxi service, is now expanding service into Los Angeles and the San Francisco Bay Area after California state regulators gave the autonomous vehicles the green light. According to Quartz, the decision “will be Waymo’s biggest test since it first…
Key LiDAR sensor elements for autonomous vehicles are now made with our technology
The Korea Institute of Science and Technology (KIST) announced that a team led by Dr. Myung-Jae Lee at the Post-Silicon Semiconductor Institute has developed a “single-photon avalanche diode (SPAD)” that can identify objects at the mm level based on a 40nm back-illuminated CMOS image sensor process.
Using neuroscience to stop phantom braking
When customers began complaining that their vehicles with driver-assistance technologies were “phantom braking” or slamming on the brakes without any visible obstacles present, researchers at Michigan State University wanted to learn more about this phenomenon — why it happens and how to stop it.
How road rage really affects your driving – and the self-driving cars of the future
In the first study to systematically identify aggressive driving behaviours, scientists have measured the changes in driving that occur in an aggressive state. Aggressive drivers drive faster and with more mistakes than non-aggressive drivers – putting other road users at risk and posing a challenge to researchers working on self-driving car technology.
Researchers Propose a Fourth Light on Traffic Signals – For Self-Driving Cars
At a traffic light, red means stop and green means go. But transportation engineers are now proposing a “white light,” which would enable autonomous vehicles to help control traffic flow – and let human drivers know what’s going on.
Autonomous driving: New algorithm distributes risk fairly
Technical realization is not the only obstacle to be mastered before autonomously driving vehicles can be allowed on the street on a large scale.
Computers that power self-driving cars could be a huge driver of global carbon emissions
In the future, the energy needed to run the powerful computers on board a global fleet of autonomous vehicles could generate as many greenhouse gas emissions as all the data centers in the world today.
Borrowing a shape from a to-go cup lid, a drone wing could learn how to sense danger faster
The oddly satisfying small domes that you press on your soda’s to-go cup lid may one day save a winged drone from a nosedive.
Carnegie Mellon Roboticists go off road to compile data that could train self-driving ATVs
Researchers from Carnegie Mellon University took an all-terrain vehicle on wild rides through tall grass, loose gravel and mud to gather data about how the ATV interacted with a challenging, off-road environment.
Charting a safe course through a highly uncertain environment
An autonomous spacecraft exploring the far-flung regions of the universe descends through the atmosphere of a remote exoplanet. The vehicle, and the researchers who programmed it, don’t know much about this environment.
On the road to cleaner, greener, and faster driving
No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit greenhouse gases while waiting for the light to change.
Government action needed to ensure insurance against major hacking of driverless vehicles, experts warn
Government action is needed so driverless vehicles can be insured against malicious hacks which could have potentially catastrophic consequences, a study says.
Do Passengers Want Self-driving Cars to Behave More or Less Like Them?
Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.
GW Receives Funding to Develop Artificial Intelligence Systems Aimed at Helping People with Health Problems Drive Safely
Samer Hamdar, an associate professor of civil and environmental engineering at the George Washington University, is partnering with Moment AI to launch a project aimed at developing AI systems that could one day prevent health-induced traffic accidents, including those linked to stress.
ORNL, DOE unveil new capabilities for advanced manufacturing recycling and autonomous vehicles
Oak Ridge National Laboratory and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and autonomous vehicle technologies.
What If People Use Autonomous Vehicles To Do Bad Things?
There’s a fairly large flaw in the way that programmers are currently addressing ethical concerns related to artificial intelligence and autonomous vehicles (AVs). Namely, existing approaches don’t account for the fact that people might try to use the AVs to do something bad.
LLNL computer scientists explore deep learning to improve efficiency of ride-hailing and autonomous electric vehicles
Computer scientists at Lawrence Livermore National Laboratory are preparing the future of commuter traffic by applying Deep Reinforcement Learning — the same kind of goal-driven algorithms that have defeated video game experts and world champions in the strategy game Go — to determine the most efficient strategy for charging and driving electric vehicles used for ride-sharing services.
Rutgers Expert Available to Discuss Autism and Transportation Issues
New Brunswick, N.J. (Jan. 22, 2020) – Rutgers University–New Brunswick expert Cecilia Feeley is available for interviews on transportation and mobility issues for people on the autism spectrum. Feeley, transportation autism project manager at the Rutgers Center for Advanced Infrastructure and…
Smart intersections could cut autonomous car congestion
A new study by Cornell researchers developed a first-of-its-kind model to control traffic and intersections in order to increase autonomous car capacity on urban streets of the future, reduce congestion and minimize accidents.
Veho Institute launches, establishes center at Cornell Tech
Cornell Engineering has launched the Veho Institute for vehicle intelligence, formally partnering Cornell with Italian universities and luxury automakers as well as establishing a new academic center at Cornell Tech.
UIC Urban Forum to explore the growth, potential impact and future of autonomous vehicles
The University of Illinois at Chicago’s 2019 Urban Forum, titled “Are we there yet? The myths and realities of autonomous vehicles,” will examine the questions and uncertainties surrounding not only the societal and legislative impact of autonomous vehicles, but also the technological advances needed for these vehicles to proliferate.