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pro vyhledávání: '"Morris, Daniel"'
Technology-driven precision livestock farming (PLF) empowers practitioners to monitor and analyze animal growth and health conditions for improved productivity and welfare. Computer vision (CV) is indispensable in PLF by using cameras and computer al
Externí odkaz:
http://arxiv.org/abs/2406.10628
Autor:
Wang, Miaowei, Morris, Daniel
There has been significant progress in improving the accuracy and quality of consumer-level dense depth sensors. Nevertheless, there remains a common depth pixel artifact which we call smeared points. These are points not on any 3D surface and typica
Externí odkaz:
http://arxiv.org/abs/2311.09029
The past decade has witnessed many great successes of machine learning (ML) and deep learning (DL) applications in agricultural systems, including weed control, plant disease diagnosis, agricultural robotics, and precision livestock management. Despi
Externí odkaz:
http://arxiv.org/abs/2305.14691
Despite radar's popularity in the automotive industry, for fusion-based 3D object detection, most existing works focus on LiDAR and camera fusion. In this paper, we propose TransCAR, a Transformer-based Camera-And-Radar fusion solution for 3D object
Externí odkaz:
http://arxiv.org/abs/2305.00397