Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...
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The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of Unmanned Aerial Vehicles (UAVs) for real-world applications such ...
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 ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
The proposed model adopts innovative strategies that enable it to accurately combine 3D LiDAR data with 2D images, leading to a significantly better performance than state-of-the-art models for small ...
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