Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Har, Dongsoo"'
Driver distraction is a principal cause of traffic accidents. In a study conducted by the National Highway Traffic Safety Administration, engaging in activities such as interacting with in-car menus, consuming food or beverages, or engaging in teleph
Externí odkaz:
http://arxiv.org/abs/2312.14577
Efficient exploration for an agent is challenging in reinforcement learning (RL). In this paper, a novel actor-critic framework namely virtual action actor-critic (VAAC), is proposed to address the challenge of efficient exploration in RL. This work
Externí odkaz:
http://arxiv.org/abs/2311.02916
Transformer is a state-of-the-art model in the field of natural language processing (NLP). Current NLP models primarily increase the number of transformers to improve processing performance. However, this technique requires a lot of training resource
Externí odkaz:
http://arxiv.org/abs/2310.10930
Sensor fusion is critical to perception systems for task domains such as autonomous driving and robotics. Recently, the Transformer integrated with CNN has demonstrated high performance in sensor fusion for various perception tasks. In this work, we
Externí odkaz:
http://arxiv.org/abs/2308.10707
Road infrastructure can affect the occurrence of road accidents. Therefore, identifying roadway features with high accident probability is crucial. Here, we introduce image inpainting that can assist authorities in achieving safe roadway design with
Externí odkaz:
http://arxiv.org/abs/2302.07440
Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are sampled, uniformly or non-uniformly, to create the batches used for tr
Externí odkaz:
http://arxiv.org/abs/2212.13175
As the demand for autonomous driving increases, it is paramount to ensure safety. Early accident prediction using deep learning methods for driving safety has recently gained much attention. In this task, early accident prediction and a point predict
Externí odkaz:
http://arxiv.org/abs/2212.04677
This paper presents a technique to train a robot to perform kick-motion in AI soccer by using reinforcement learning (RL). In RL, an agent interacts with an environment and learns to choose an action in a state at each step. When training RL algorith
Externí odkaz:
http://arxiv.org/abs/2212.00389
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based methods have shown to be effective for absolute camera pose estimation. H
Externí odkaz:
http://arxiv.org/abs/2211.10963
Autor:
Lee, Sangkeum, Nengroo, Sarvar Hussain, Jin, Hojun, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
With the growth of smart building applications, occupancy information in residential buildings is becoming more and more significant. In the context of the smart buildings' paradigm, this kind of information is required for a wide range of purposes,
Externí odkaz:
http://arxiv.org/abs/2209.11520