MBBNet: An edge IoT computing-based traffic light detection solution for autonomous bus
Traffic light detection is a key module in the autonomous driving system to enhance the
interactions between drivers and unmanned vehicles. In recent studies, deep neural
networks are widely used for traffic light detection and resource/power consumption is a
major concern for model deployment in vehicular edge devices. This paper proposes a
novel light-weight deep CNN model that integrates the multi-backbone of state-of-the-art
architectures for the self-driving traffic light detection. The MBBNet (Multi-BackBone …
interactions between drivers and unmanned vehicles. In recent studies, deep neural
networks are widely used for traffic light detection and resource/power consumption is a
major concern for model deployment in vehicular edge devices. This paper proposes a
novel light-weight deep CNN model that integrates the multi-backbone of state-of-the-art
architectures for the self-driving traffic light detection. The MBBNet (Multi-BackBone …
以上显示的是最相近的搜索结果。 查看全部搜索结果