Autonomous Vehicles Archives - Unite.AI

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Autonomous Vehicles4 days ago
By Alex McFarland

AI Pilot Enables Autonomous Aircraft to Navigate Crowded Airspace
A group of researchers at Carnegie Mellon University (CMU) has developed what they call the first AI pilot that enables autonomous aircraft to navigate a crowded...
Autonomous Vehicles1 month ago
By Alex Vakulov

Problems of Self-Diving Vehicles and How to Solve Them – Thought Leaders
Autonomous vehicles require more than simple artificial intelligence. A self-driving car receives data from various sources such as sonars, cameras, radars, GPS, and lidars allowing it...
Autonomous Vehicles1 month ago
By Millie Fuller

How is AI Impacting the Automotive Industry?
The automotive sector has been around for over 100 years and is worth billions. It enables us to get from point A to point B quickly...
Autonomous Vehicles2 months ago
By Alex McFarland

New Method Helps Self-Driving Cars Create ‘Memories’
A team of researchers at Cornell University has developed a new method enabling autonomous vehicles to create “memories” of previous experiences, which can then be used...
Autonomous Vehicles3 months ago
By Alex McFarland

Self-Driving ATVs Are Coming
A team of researchers at Carnegie Mellon University (CMU) are bringing us one step closer to achieving self-driving all-terrain vehicles (ATVs). The team rode an ATV...
Autonomous Vehicles3 months ago
By Alex McFarland

UAS Company SpearUAV Raises $17 Million in Series B Round
SpearUAV has announced a $17 million investment in a Series B funding round. The Tel Aviv-based company is a developer of an autonomous, AI-based technology for...
Autonomous Vehicles5 months ago
By Alex McFarland

Researchers Reverse-Engineer Hoverflies’ Visual Systems to Detect Drones
A team of researchers at the University of South Australia has reverse engineered the visual systems of hoverflies to detect drones from nearly four kilometers away....
Autonomous Vehicles6 months ago
By Alex McFarland

New Technique Helps AI Identify 3D Objects
A new technique developed by researchers at North Carolina State University improves the ability of artificial intelligence (AI) programs to identify 3D objects. Called MonoCon, the...
Autonomous Vehicles8 months ago
By Martin Anderson

Converting LiDAR to Photo-Real Imagery With a Generative Adversarial Network
Earlier this week, footage was released showing a Tesla autopilot system crashing directly into the side of a stalled vehicle on a motorway in June of...
Autonomous Vehicles8 months ago
By Martin Anderson

Detecting Eye Contact From Body Pose With Machine Learning
Researchers from France and Switzerland have developed a computer vision system that can estimate whether a person is looking directly at the ‘ego’ camera of an...
Autonomous Vehicles9 months ago
By Alex McFarland

New Method Simplifies Automated Driving Systems Approval
A new method developed by researchers at the Graz University of Technology could drastically improve and simplify the approval process for automated driving systems. Driving simulator...
Autonomous Vehicles9 months ago
By Alex McFarland

Research Into Human Behavior Helps Autonomous Cars Predict Pedestrian Crossings
Research out of University of Leeds could help self-driving cars become more human-friendly. By investigating how to better understand human behavior in traffic, neuroscientific theories of...
Autonomous Vehicles12 months ago
By Alex McFarland

Microscale Concave Interfaces Could Help Autonomous Vehicles
A new study details how microscale concave interfaces (MCI) could help autonomous vehicles read signs. MCIs are structures that reflect light to produce optical phenomena. Qiaoqiang...
Autonomous Vehicles1 year ago
By Martin Anderson

UrbanScene3D: Semantically Labeled Cityscapes for Autonomous Vehicle Research
The Visual Computing Research Center at Shenzhen University in China has developed a large scale urban scene data set that offers diverse, fully semantically labeled simulations...
Autonomous Vehicles1 year ago
By Alex McFarland

Algorithm Enables Visual Terrain-Relative Navigation in Autonomous Vehicles
A new deep learning algorithm developed by researchers at California Institute of Technology (Caltech) enables autonomous systems to recognize where they are by observing the terrain...

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