82 citations · 324 across the 42 of their papers we have counts for
7 papers · 1 filter
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
Christian Korbach, Markus D. Solbach, Raphael Memmesheimer +2
The presentation and analysis of image data from a single viewpoint are often not sufficient to solve a task. Several viewpoints are necessary to obtain more information. The next-…
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Bao Xin Chen, Raghavender Sahdev, Dekun Wu +3
Scene Classification has been addressed with numerous techniques in computer vision literature. However, with the increasing number of scene classes in datasets in the field, it ha…
Attention-based Active Visual Search for Mobile Robots
Amir Rasouli, Pablo Lanillos, Gordon Cheng +1
We present an active visual search model for finding objects in unknown environments. The proposed algorithm guides the robot towards the sought object using the relevant stimuli p…
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli, John K. Tsotsos
One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require the ability to communicate wit…
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
Amir Rasouli, John K. Tsotsos
Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments. Such a task requires communication between autonomous vehicles…
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of traffic participants while crossing. Our dataset contains more than 650 samples of…
Joint Attention in Autonomous Driving (JAAD)
Iuliia Kotseruba, Amir Rasouli, John K. Tsotsos
In this paper we present a novel dataset for a critical aspect of autonomous driving, the joint attention that must occur between drivers and of pedestrians, cyclists or other driv…