activity
20202026
most citedCooperative Perception with Deep Reinforcement Learning for Connected Vehicles

11 citations · 14 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Selecting k Paths with the Minimum Longest Path Length in the Stochastic Semi-Bandit Setting

Shunsuke Aoki, Atsuyoshi Nakamura

When performing parallel data transmission through a network using multiple paths, it is practically important to minimize the maximum transmission time among the selected paths. T…

cs.RO2023

SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous Driving

Shunsuke Aoki, Issei Yamamoto, Daiki Shiotsuka +3

Fully autonomous driving has been widely studied and is becoming increasingly feasible. However, such autonomous driving has yet to be achieved on public roads, because of various…

cs.MA2022

A-DRIVE: Autonomous Deadlock Detection and Recovery at Road Intersections for Connected and Automated Vehicles

Shunsuke Aoki, Ragunathan, Rajkumar

Connected and Automated Vehicles (CAVs) are highly expected to improve traffic throughput and safety at road intersections, single-track lanes, and construction zones. However, mul…

cs.RO2021★ 3 cited

MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles

Shunsuke Aoki, Lung En Jan, Junfeng Zhao +4

Connected and Automated Vehicles (CAVs) have real-time information from the surrounding environment by using local on-board sensors, V2X (Vehicle-to-Everything) communications, pre…

cs.AI2020★ 11 cited

Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles

Shunsuke Aoki, Takamasa Higuchi, Onur Altintas

Sensor-based perception on vehicles are becoming prevalent and important to enhance the road safety. Autonomous driving systems use cameras, LiDAR, and radar to detect surrounding…

eess.SY2020

Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles

Shunsuke Aoki, Lung En Jan, Junfeng Zhao +4

With advances in sensing, computing, and communication technologies, Connected and Automated Vehicles (CAVs) are becoming feasible. The advent of CAVs presents new opportunities to…