b'Rohan Chandra'

DeepAI AI Chat

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research

∙ 08/21/2023

Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions

We present an approach to ensure safe and deadlock-free navigation for d...

0 Rohan Chandra, et al. ∙

research

∙ 06/29/2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

A major challenge to deploying robots widely is navigation in human-popu...

0 Anthony Francis, et al. ∙

research

∙ 06/15/2023

Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization

This paper presents a fully decentralized approach for realtime non-coop...

4 Rohan Chandra, et al. ∙

research

∙ 06/09/2023

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Navigating safely and efficiently in dense and heterogeneous traffic sce...

1 Xiyang Wu, et al. ∙

research

∙ 03/09/2023

SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces

We present SocialGym 2, a multi-agent navigation simulator for social ro...

3 Zayne Sprague, et al. ∙

research

∙ 10/15/2022

SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation

We propose an extension to the MAPF formulation, called SocialMAPF, to a...

4 Rohan Chandra, et al. ∙

research

∙ 07/14/2022

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs

We present a computational approach for estimating emotion contagion on ...

0 Trisha Mittal, et al. ∙

research

∙ 05/01/2022

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers

We present a novel approach for risk-aware planning with human agents in...

0 Rohan Chandra, et al. ∙

research

∙ 02/23/2022

GAMEOPT: Optimal Real-time Multi-Agent Planning and Control at Dynamic Intersections

We propose GameOpt: a novel hybrid approach to cooperative intersection ...

0 Nilesh Suriyarachchi, et al. ∙

research

∙ 11/04/2021

Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior

Studies have shown that autonomous vehicles (AVs) behave conservatively ...

0 Rohan Chandra, et al. ∙

research

∙ 09/16/2021

METEOR: A Massive Dense Heterogeneous Behavior Dataset for Autonomous Driving

We present a new and complex traffic dataset, METEOR, which captures tra...

16 Rohan Chandra, et al. ∙

research

∙ 09/04/2021

GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging

We present a new method for multi-agent planning involving human drivers...

0 Rohan Chandra, et al. ∙

research

∙ 04/24/2021

M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

We present a novel architecture for 3D object detection, M3DeTR, which c...

19 Tianrui Guan, et al. ∙

research

∙ 03/07/2021

GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments

We present a new learning-based method for identifying safe and navigabl...

16 Tianrui Guan, et al. ∙

research

∙ 11/09/2020

StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories

Studies have shown that autonomous vehicles (AVs) behave conservatively ...

0 Rohan Chandra, et al. ∙

research

∙ 11/07/2020

B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation

We present a novel learning algorithm for action prediction and local na...

0 Angelos Mavrogiannis, et al. ∙

research

∙ 03/14/2020

Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues

We present a learning-based multimodal method for detecting real and dee...

0 Trisha Mittal, et al. ∙

research

∙ 03/14/2020

EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle

We present EmotiCon, a learning-based algorithm for context-aware percei...

24 Trisha Mittal, et al. ∙

research

∙ 03/09/2020

CMetric: A Driving Behavior Measure Using Centrality Functions

We present a new measure, CMetric, to classify driver behaviors using ce...

0 Rohan Chandra, et al. ∙

research

∙ 02/07/2020

DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors

We present DenseCAvoid, a novel navigation algorithm for navigating a ro...

0 Adarsh Jagan Sathyamoorthy, et al. ∙

research

∙ 12/02/2019

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

We present a novel approach for traffic forecasting in urban traffic sce...

0 Rohan Chandra, et al. ∙

research

∙ 11/20/2019

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping

We present an autoencoder-based semi-supervised approach to classify per...

25 Uttaran Bhattacharya, et al. ∙

research

∙ 11/09/2019

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

We present M3ER, a learning-based method for emotion recognition from mu...

0 Trisha Mittal, et al. ∙

research

∙ 10/28/2019

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

We present a novel classifier network called STEP, to classify perceived...

23 Uttaran Bhattacharya, et al. ∙

research

∙ 09/30/2019

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums

We present a novel algorithm (GraphRQI) to identify driver behaviors fro...

0 Rohan Chandra, et al. ∙

research

∙ 07/20/2019

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs

We present RobustTP, an end-to-end algorithm for predicting future traje...

0 Rohan Chandra, et al. ∙

research

∙ 06/25/2019

RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments

We present a realtime tracking algorithm, RoadTrack, to track heterogene...

0 Rohan Chandra, et al. ∙

research

∙ 06/25/2019

RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments

We present an algorithm to track traffic agents in dense videos. Our app...

0 Rohan Chandra, et al. ∙

research

∙ 06/25/2019

DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features

We present a pedestrian tracking algorithm, DensePeds, that tracks indiv...

0 Rohan Chandra, et al. ∙

research

∙ 12/12/2018

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

We present a new algorithm for predicting the near-term trajectories of ...

0 Rohan Chandra, et al. ∙

research

∙ 12/23/2017

Texture Synthesis with Recurrent Variational Auto-Encoder

We propose a recurrent variational auto-encoder for texture synthesis. A...

0 Rohan Chandra, et al. ∙

research

∙ 11/28/2017

PhasePack: A Phase Retrieval Library

Phase retrieval deals with the estimation of complex-valued signals sole...

0 Rohan Chandra, et al. ∙

research

∙ 11/24/2017

PhasePack User Guide

"Phase retrieval" refers to the recovery of signals from the magnitudes ...

0 Rohan Chandra, et al. ∙

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