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智能小车平台

小车研究方向和文献

Publications in Top-tier ML/CV/ Conference (ICRA ,AAAI, KDD) ##预留 更换或添加顶会 修改:添加小车研究方向的顶会

ICRA

Title Team/Authors Venue and Year Targeting Problem Method
RoadMap:A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving 2021-6 TongQin ICRA 2021 道路建图与定位 高精度传感器提供地图给低精度传感器
semantically-aware strategies for stereo-visual robotic obstacle avoidance Jungseok Hong ICRA 2021 语义特征避障 融合语义地图与人工势场法

###预留

Research Areas 修改: 添加研究领域分类及引索

定位

避障

修改:上面的引索对应下面的分类。

定位

道路定位

RoadMap:ALight-WeightSemanticMapforVisualLocalizationtowardsAutonomousDriving 2021-6

子方向

方向二

二子方向

其他

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

Self-supervised audio representation learning for mobile devices

Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics

PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning

Federated Multi-task Hierarchical Attention Model for Sensor Analytics

DÏoT: A Federated Self-learning Anomaly Detection System for IoT

Benchmark, Dataset and Survey

Benchmark and Dataset

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems

Survey

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Researcher: Bingsheng He, NUS Qinbin Li, PhD, NUS, HKUST

http://arxiv.org/pdf/2002.09668.pdf)

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