233 citations · 902 across the 70 of their papers we have counts for
7 papers · 1 filter
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera +1
We present a new algorithm for predicting the near-term trajectories of road-agents in dense traffic videos. Our approach is designed for heterogeneous traffic, where the road-agen…
Pedestrian Dominance Modeling for Socially-Aware Robot Navigation
Tanmay Randhavane, Aniket Bera, Emily Kubin +3
We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation. Through a perception study on a simulated dataset of pe…
Data-Driven Modeling of Group Entitativity in Virtual Environments
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a data-driven algorithm to model and predict the socio-emotional impact of groups on observers. Psychological research finds that highly entitative i.e. cohesive and uni…
Interactive Surveillance Technologies for Dense Crowds
Aniket Bera, Dinesh Manocha
We present an algorithm for realtime anomaly detection in low to medium density crowd videos using trajectory-level behavior learning. Our formulation combines online tracking algo…
PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians
Yuanfu Luo, Panpan Cai, Aniket Bera +3
This paper presents a planning system for autonomous driving among many pedestrians. A key ingredient of our approach is PORCA, a pedestrian motion prediction model that accounts f…
The Socially Invisible Robot: Navigation in the Social World using Robot Entitativity
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a real-time, data-driven algorithm to enhance the social-invisibility of robots within crowds. Our approach is based on prior psychological research, which reveals that…
Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation
Ernest Cheung, Aniket Bera, Emily Kubin +2
We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of…