VESPA: A Framework for Optimizing Heterogeneous Sensor Placement and Orientation for Autonomous Vehicles

Author:

Dey Joydeep,Taylor Wes,Pasricha Sudeep

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Hardware and Architecture,Human-Computer Interaction

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Configuration Method of Multi-source Sensors for Autonomous Vehicles Considering Three-dimensional Perception;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

2. Can You See Me Now? Blind Spot Estimation for Autonomous Vehicles using Scenario-Based Simulation with Random Reference Sensors;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Multi-Sensor Object Detection System for Real-Time Inferencing in ADAS;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

4. Optimizing Autonomous Vehicle Sensor Setups: A Framework for Coverage Analysis;2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI);2023-11-27

5. A Virtual Method for Optimizing Deployment of Roadside Monitoring Lidars at As-Built Intersections;IEEE Transactions on Intelligent Transportation Systems;2023-11

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