Nachiket Deo

According to our database, Nachiket Deo authored at least 28 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

PBP: Path-based Trajectory Prediction for Autonomous Driving.

Sepideh Afshar, Nachiket Deo, Akshay Bhagat, Titas Chakraborty, Yunming Shao, Balarama Raju Buddharaju, Adwait Deshpande, Henggang Cui

CoRR, 2023

Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction.

Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi

CoRR, 2023

Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context.

Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi

CoRR, 2023

On Computing the Jaro Similarity Between Two Strings.

Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Novel Blocking Techniques and Distance Metrics for Record Linkage.

Nachiket Deo, Joyanta Basak, Ahmed Soliman, Daniel Weinberg, Rebecca C. Steorts, Sanguthevar Rajasekaran

Proceedings of the Information Integration and Web Intelligence, 2023

Identifying suitable attributes for Record Linkage using Association Analysis.

Nachiket Deo, Sanguthevar Rajasekaran, Rany Kamel

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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

Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Runtime provenance refinement for notebooks.

Nachiket Deo, Boris Glavic, Oliver Kennedy

Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

2021

Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss.

Ross Greer, Nachiket Deo, Mohan M. Trivedi

IEEE Robotics Autom. Lett., 2021

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

Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

CoRR, 2021

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

Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

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

Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals.

Nachiket Deo, Eric M. Wolff, Oscar Beijbom

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

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

Nachiket Deo, Mohan M. Trivedi

IEEE Trans. Intell. Veh., 2020

Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids.

Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi

IEEE Robotics Autom. Lett., 2020

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

Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi

CoRR, 2020

Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans.

Nachiket Deo, Mohan M. Trivedi

CoRR, 2020

2019

Scene Induced Multi-Modal Trajectory Forecasting via Planning.

Nachiket Deo, Mohan M. Trivedi

CoRR, 2019

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

Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity.

Nachiket Deo, Nasha Meoli, Akshay Rangesh, Mohan M. Trivedi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction.

Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi

IEEE Trans. Intell. Veh., 2018

Audio segmentation based on melodic style with hand-crafted features and with convolutional neural networks.

Amruta Vidwans, Nachiket Deo, Preeti Rao

CoRR, 2018

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

Nachiket Deo, Mohan M. Trivedi

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Exploring the Situational Awareness of Humans inside Autonomous Vehicles.

Akshay Rangesh, Nachiket Deo, Kevan Yuen, Kirill Pirozhenko, Pujitha Gunaratne, Heishiro Toyoda, Mohan M. Trivedi

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Convolutional Social Pooling for Vehicle Trajectory Prediction.

Nachiket Deo, Mohan M. Trivedi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Learning and predicting on-road pedestrian behavior around vehicles.

Nachiket Deo, Mohan M. Trivedi

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

In-vehicle Hand Gesture Recognition using Hidden Markov models.

Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Vowel mispronunciation detection using DNN acoustic models with cross-lingual training.

Shrikant Joshi, Nachiket Deo, Preeti Rao

Proceedings of the INTERSPEECH 2015, 2015