Intrinsic synergy between optical navigation and advanced image processing techniques is reshaping aerospace, robotics and industrial applications. By integrating sensor data and sophisticated ...
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GNSS-only method delivers stable positioning for autonomous vehicles in urban areas
Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage ...
HD Hyundai ’s navigation technology subsidiary Avikus has signed a deal with South Korean shipping firm HMM to install its AI-based autonomous navigation system on 40 vessels.
For decades, Hollywood has trained us to fear the moment machines become self-aware. The second someone says “autonomous ...
No audio available for this content. SBG Systems’ INS Ellipse-D powers Leo Drive’s autonomous car. The evolution of autonomous vehicles has been a fascinating journey, transforming from science ...
No audio available for this content. Question: What are the main challenges facing GNSS/GPS-based autonomous solutions in terms of signal integrity, jamming and spoofing, and how are these being ...
The expanding process diagram when a brain-inspired agent begins the autonomous exploring process and builds the experience map. This framework draws inspiration from the experience mapping structure ...
Anschütz has designed an integrated Autonomous Navigation and Command System for naval vessels. Using proven, readily available and type-approved components, it provides navies with enhanced safety ...
Avikus, HD Hyundai's autonomous navigation in-house startup, has verified that its autonomous navigation system is capable of reducing fuel use by as much as 15%, which is expected to reduce carbon ...
A cropped composite of a DRACO image centered on Jupiter taken during one of SMART Nav’s tests. DART was approximately 16 million miles (26 million km) from Earth when the image was taken, with ...
Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...
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