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