Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...
Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
The new approach could also enable accurate distance measurements through fog, which has proven to be a major obstacle to the development of self-driving cars. At a range of 2 meters, existing time-of ...
Let the Apple Car rumors roll on. Apple has applied for a patent (number US 20230350018 A1) for “Object Detection” as a safety feature in a vehicle. In the patent filing, Apple notes that some folks ...
Beyond self-driving, the Apple Car may use its cameras to identify objects of interest and other vehicles, and for detecting damage to the car's windows. Digital imaging is an important part of any ...
Your next car's backup camera could automatically warn you of hazards: children or pets behind the car, other vehicles, even walls or dumpsters you might not see, especially in the dark. The ...
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
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Artificial sensory neuron enables high-precision, multi-color, near-infrared object recognition
Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.
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