13 citations · 37 across the 18 of their papers we have counts for
21 papers
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
Hochul Hwang, Jahir Sadik Monon, Soowan Yang +9
Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activation buttons, and handrails) is essential for assistive navigation technologies…
Characterizing the Performance Gap in Human Activity Recognition for Older Adults
Hossein Khayami, Sungjin Hwang, Eshed Ohn-Bar +4
Human activity recognition (HAR) from wrist-worn accelerometers is increasingly used for health and behavioral tracking. Yet, most wearable HAR models are developed and evaluated o…
Time-Aware Assistive Navigation
Masaki Kuribayashi, Zhongkai Shangguan, Eshed Ohn-Bar
Can interactive vision-and-language agents learn not just what to say but also \textbf{\textit{when}} to say it? Current language models rarely plan over whether and when to realiz…
Scalable Offline Metrics for Autonomous Driving
Animikh Aich, Adwait Kulkarni, Eshed Ohn-Bar
Real-world evaluation of perception-based planning models for robotic systems, such as autonomous vehicles, can be safely and inexpensively conducted offline, i.e. by computing mod…
DriveQA: Passing the Driving Knowledge Test
Maolin Wei, Wanzhou Liu, Eshed Ohn-Bar
If a Large Language Model (LLM) were to take a driving knowledge test today, would it pass? Beyond standard spatial and visual question-answering (QA) tasks on current autonomous d…
ZeroVO: Visual Odometry with Minimal Assumptions
Lei Lai, Zekai Yin, Eshed Ohn-Bar
We introduce ZeroVO, a novel visual odometry (VO) algorithm that achieves zero-shot generalization across diverse cameras and environments, overcoming limitations in existing metho…