Akshay Gopalkrishnan

According to our database, Akshay Gopalkrishnan authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Akshay Gopalkrishnan, Ross Greer, Mohan M. Trivedi

CoRR, 2024

2023

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

Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar, Mohan M. Trivedi

CoRR, 2023

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

Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi

CoRR, 2023

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

Ross Greer, Lulua Rakla, Akshay Gopalkrishnan, Mohan M. Trivedi

CoRR, 2023

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

Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, 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

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations.

Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis.

Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023