Akshay Gopalkrishnan

According to our database1, Akshay Gopalkrishnan authored at least 10 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics.
Pattern Recognit. Lett., 2024

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving.
CoRR, 2024

Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations.
CoRR, 2023

Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics.
CoRR, 2023

Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain.
CoRR, 2023

CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems.
CoRR, 2023

Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context.
CoRR, 2023

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023


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