Pedram Agand

According to our database, Pedram Agand authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract).

Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy, Chanwoo Bae

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving.

Pedram Agand

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning.

Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen

CoRR, 2023

Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study.

Pedram Agand, Allison Kennedy, Trevor Harris, Chanwoo Bae, Mo Chen, Edward J. Park

CoRR, 2023

Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions.

Pedram Agand, Alexey Iskrov, Mo Chen

IROS, 2023

Online Probabilistic Model Identification Using Adaptive Recursive MCMC.

Pedram Agand, Mo Chen, Hamid D. Taghirad

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

DMODE: Differential Monocular Object Distance Estimation Module without Class Specific Information.

Pedram Agand, Michael Chang, Mo Chen

CoRR, 2022

Human Navigational Intent Inference with Probabilistic and Optimal Approaches.

Pedram Agand, Mahdi Taherahmadi, Angelica Lim, Mo Chen

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2019

Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation.

Pedram Agand, Mahdi Aliyari Shoorehdeli

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Adaptive recurrent neural network with Lyapunov stability learning rules for robot dynamic terms identification.

Pedram Agand, Mahdi Aliyari Shoorehdeli, Ali Khaki-Sedigh

Eng. Appl. Artif. Intell., 2017