3D car-detection based on a Mobile Deep Sensor Fusion Model and real-scene applications.

ABSTRACT: Unmanned vehicles need to make a comprehensive perception of the surrounding environmental information during driving. Perception of automotive information is of significance. In the field of automotive perception, the sterevision of car-detection plays a vital role and sterevision can calculate the length, width, and height of a car, making the car more specific. However, under the existing technology, it is impossible to obtain accurate detection in a complex environment by relying on a single sensor. Therefore, it is particularly important to study the complex sensing technology based on multi-sensor fusion. Recently, with the development of deep learning in the field of vision, a mobile sensor-fusion method based on deep learning is proposed and applied in this paper--Mobile Deep Senso

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC7470372 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature