102 citations · 105 across the 3 of their papers we have counts for
5 papers
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…
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion
Iljoo Baek, Tzu-Chieh Tai, Manoj Bhat +5
Reliable curb detection is critical for safe autonomous driving in urban contexts. Curb detection and tracking are also useful in vehicle localization and path planning. Past work…
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…
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi, Ragunathan, Rajkumar
In this paper, we propose a graph neural network to detect objects from a LiDAR point cloud. Towards this end, we encode the point cloud efficiently in a fixed radius near-neighbor…
Real-time Detection, Tracking, and Classification of Moving and Stationary Objects using Multiple Fisheye Images
Iljoo Baek, Albert Davies, Geng Yan +2
The ability to detect pedestrians and other moving objects is crucial for an autonomous vehicle. This must be done in real-time with minimum system overhead. This paper discusses t…