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Found 6 papers, 1 papers with code
Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs
This paper explores leveraging large language models for map-free off-road navigation using generative AI, reducing the need for traditional data collection and annotation.
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking
We use established methods for vision-based tracking and introduce a centralized DQN controller.
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
To have real-time experiments a multi-thread framework is developed to run both CNN and LSTM in parallel.
Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network
Recent state-of-the-art (SOTA) approaches are proposed based on taking a matching network with a heavy structure to distinguish the target from other objects in the area which indeed drastically downgrades the performance of the tracker in terms of speed.
A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
Both recognition and 3D tracking of frontal dynamic objects are crucial problems in an autonomous vehicle, while depth estimation as an essential issue becomes a challenging problem using a monocular camera.
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
Object localization has a vital role in any object detector, and therefore, has been the focus of attention by many researchers.
