5 papers
Text to Blind Motion
Hee Jae Kim, Kathakoli Sengupta, Masaki Kuribayashi +2
People who are blind perceive the world differently than those who are sighted, which can result in distinct motion characteristics. For instance, when crossing at an intersection,…
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…
Scalable Early Childhood Reading Performance Prediction
Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar +4
Models for student reading performance can empower educators and institutions to proactively identify at-risk students, thereby enabling early and tailored instructional interventi…