Mohan M. Trivedi

research

∙ 12/02/2021

On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset

Safe path planning in autonomous driving is a complex task due to the in...

0 Ross Greer, et al. ∙

research

∙ 07/27/2021

Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation

Understanding occupant-vehicle interactions by modeling control transiti...

0 Akshay Rangesh, et al. ∙

research

∙ 04/23/2021

Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data

With increasing automation in passenger vehicles, the study of safe and ...

0 Akshay Rangesh, et al. ∙

research

∙ 03/22/2021

LaneAF: Robust Multi-Lane Detection with Affinity Fields

This study presents an approach to lane detection involving the predicti...

0 Hala Abualsaud, et al. ∙

research

∙ 01/11/2021

TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking

This study follows many previous approaches to multi-object tracking (MO...

59 Akshay Rangesh, et al. ∙

research

∙ 05/06/2020

Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation

Predicting the trajectories of surrounding agents is an essential abilit...

0 Kaouther Messaoud, et al. ∙

research

∙ 05/06/2020

Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving

For autonomous vehicles to navigate in urban environment, the ability to...

0 Kaouther Messaoud, et al. ∙

research

∙ 02/06/2020

Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge

A driver's gaze is critical for determining the driver's attention level...

7 Akshay Rangesh, et al. ∙

research

∙ 01/03/2020

Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

In this paper, we address the problem of forecasting agent trajectories ...

29 Nachiket Deo, et al. ∙

research

∙ 09/30/2019

On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights

Automobiles for our roadways are increasingly utilizing advanced driver ...

0 Siddharth, et al. ∙

research

∙ 07/27/2019

Forced Spatial Attention for Driver Foot Activity Classification

This paper provides a simple solution for reliably solving image classif...

8 Akshay Rangesh, et al. ∙

research

∙ 05/23/2019

Scene Induced Multi-Modal Trajectory Forecasting via Planning

We address multi-modal trajectory forecasting of agents in unknown scene...

0 Nachiket Deo, et al. ∙

research

∙ 05/14/2019

Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis

Pedestrians and vehicles often share the road in complex inner city traf...

0 Daniela A. Ridel, et al. ∙

research

∙ 05/01/2019

Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset

Assessing the driver's attention and detecting various hazardous and non...

0 Siddharth, et al. ∙

research

∙ 11/16/2018

Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road

This paper introduces an approach to produce accurate 3D detection boxes...

0 Akshay Rangesh, et al. ∙

research

∙ 11/14/2018

Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness

Continuous estimation the driver's take-over readiness is critical for s...

0 Nachiket Deo, et al. ∙

research

∙ 05/15/2018

Convolutional Social Pooling for Vehicle Trajectory Prediction

Forecasting the motion of surrounding vehicles is a critical ability for...

0 Nachiket Deo, et al. ∙

research

∙ 05/15/2018

Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs

To safely and efficiently navigate through complex traffic scenarios, au...

0 Nachiket Deo, et al. ∙

research

∙ 04/20/2018

HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands

Tasks related to human hands have long been part of the computer vision ...

0 Akshay Rangesh, et al. ∙

research

∙ 04/03/2018

Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields

In the context of autonomous driving, where humans may need to take over...

2 Kevan Yuen, et al. ∙

research

∙ 02/23/2018

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs

Online multi-object tracking (MOT) is extremely important for high-level...

0 Akshay Rangesh, et al. ∙

research

∙ 02/22/2018

Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach

Extracting hand regions and their grasp information from images robustly...

0 Siddharth, et al. ∙

research

∙ 02/08/2018

Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis

Driver gaze has been shown to be an excellent surrogate for driver atten...

0 Sourabh Vora, et al. ∙

research

∙ 02/05/2018

An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation

A key step to driver safety is to observe the driver's activities with t...

0 Kevan Yuen, et al. ∙

research

∙ 01/31/2018

Dynamics of Driver's Gaze: Explorations in Behavior Modeling & Maneuver Prediction

The study and modeling of driver's gaze dynamics is important because, i...

0 Sujitha Martin, et al. ∙

research

∙ 01/24/2018

When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians

The intelligent vehicle community has devoted considerable efforts to mo...

0 Akshay Rangesh, et al. ∙

research

∙ 01/19/2018

How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction

Reliable prediction of surround vehicle motion is a critical requirement...

0 Nachiket Deo, et al. ∙

research

∙ 09/21/2017

A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment

Recent progress in autonomous and semi-autonomous driving has been made ...

0 Akshay Rangesh, et al. ∙

research

∙ 01/06/2017

To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection

We aim to study the modeling limitations of the commonly employed booste...

0 Eshed Ohn-Bar, et al. ∙

research

∙ 03/12/2015

Learning to Detect Vehicles by Clustering Appearance Patterns

This paper studies efficient means for dealing with intra-category diver...

0 Eshed Ohn-Bar, et al. ∙

Mohan M. Trivedi

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