activity
20202024
most citedLong-term Pedestrian Trajectory Prediction using Mutable Intention Filter and Warp LSTM

39 citations · 77 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2024★ 2 cited

Cooperative Advisory Residual Policies for Congestion Mitigation

Aamir Hasan, Neeloy Chakraborty, Haonan Chen +3

Fleets of autonomous vehicles can mitigate traffic congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these a…

cs.HC2024★ 2 cited

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study

Aamir Hasan, Neeloy Chakraborty, Haonan Chen +2

Real-time Advisory (RTA) systems, such as navigational and eco-driving assistants, are becoming increasingly ubiquitous in vehicles due to their benefits for users and society. Unt…

cs.HC2024

Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS

Aamir Hasan, D. Livingston McPherson, Melissa Miles +1

Distracted driving is a major cause of road fatalities. With improvements in driver (in)attention detection, these distracted situations can be caught early to alert drivers and im…

cs.LG2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems

Aamir Hasan, Neeloy Chakraborty, Haonan Chen +3

Intelligent driving systems can be used to mitigate congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these…

cs.RO2023★ 22 cited

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

Shuijing Liu, Aamir Hasan, Kaiwen Hong +7

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provi…

cs.RO2023★ 7 cited

Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection

Neeloy Chakraborty, Aamir Hasan, Shuijing Liu +4

In autonomous driving, detection of abnormal driving behaviors is essential to ensure the safety of vehicle controllers. Prior works in vehicle anomaly detection have shown that mo…

cs.RO2023

Designing a Wayfinding Robot for People with Visual Impairments

Shuijing Liu, Aamir Hasan, Kaiwen Hong +6

People with visual impairments (PwVI) often have difficulties navigating through unfamiliar indoor environments. However, current wayfinding tools are fairly limited. In this short…

cs.LG2023

Towards Co-operative Congestion Mitigation

Aamir Hasan, Neeloy Chakraborty, Cathy Wu +1

The effects of traffic congestion are widespread and are an impedance to everyday life. Piecewise constant driving policies have shown promise in helping mitigate traffic congestio…

cs.CV2022

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)

Yuan Shen, Niviru Wijayaratne, Pranav Sriram +3

The task of driver attention prediction has drawn considerable interest among researchers in robotics and the autonomous vehicle industry. Driver attention prediction can play an i…

cs.LG2022★ 5 cited

Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction

Aamir Hasan, Pranav Sriram, Katherine Driggs-Campbell

Spatio-temporal graphs (ST-graphs) have been used to model time series tasks such as traffic forecasting, human motion modeling, and action recognition. The high-level structure an…

cs.CV2021

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset

Yuan Shen, Niviru Wijayaratne, Pranav Sriram +3

The task of driver attention prediction has drawn considerable interest among researchers in robotics and the autonomous vehicle industry. Driver attention prediction can play an i…

cs.RO2020★ 39 cited

Long-term Pedestrian Trajectory Prediction using Mutable Intention Filter and Warp LSTM

Zhe Huang, Aamir Hasan, Kazuki Shin +2

Trajectory prediction is one of the key capabilities for robots to safely navigate and interact with pedestrians. Critical insights from human intention and behavioral patterns nee…