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h5 指数:59
h5 中位数:97

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#10 Transportation

标题/作者	引用次数	年份
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving M Teichmann, M Weber, M Zöllner, R Cipolla, R Urtasun 2018 IEEE Intelligent Vehicles Symposium (IV), 1013-1020	568	2018
Towards End-to-End Lane Detection: an Instance Segmentation Approach D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool 2018 IEEE Intelligent Vehicles Symposium (IV), 286-291	389	2018
Imitating driver behavior with generative adversarial networks A Kuefler, J Morton, T Wheeler, M Kochenderfer 2017 IEEE Intelligent Vehicles Symposium (IV), 204-211	330	2017
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture SH Park, BD Kim, CM Kang, CC Chung, JW Choi 2018 IEEE Intelligent Vehicles Symposium (IV), 1672-1678	301	2018
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs N Deo, MM Trivedi 2018 IEEE Intelligent Vehicles Symposium (IV), 1179-1184	270	2018
The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles? P Polack, F Altché, B d'Andréa-Novel, A de La Fortelle 2017 IEEE Intelligent Vehicles Symposium (IV), 812-818	221	2017
Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling S Ramos, S Gehrig, P Pinggera, U Franke, C Rother 2017 IEEE Intelligent Vehicles Symposium (IV), 1025-1032	214	2017
End-to-end learning for lane keeping of self-driving cars Z Chen, X Huang 2017 IEEE Intelligent Vehicles Symposium (IV), 1856-1860	213	2017
Fast LIDAR-based road detection using fully convolutional neural networks L Caltagirone, S Scheidegger, L Svensson, M Wahde 2017 IEEE Intelligent Vehicles Symposium (IV), 1019-1024	207	2017
Scenarios for Development, Test and Validation of Automated Vehicles T Menzel, G Bagschik, M Maurer 2018 IEEE Intelligent Vehicles Symposium (IV), 1821-1827	207	2018
Ontology based Scene Creation for the Development of Automated Vehicles G Bagschik, T Menzel, M Maurer 2018 IEEE Intelligent Vehicles Symposium (IV), 1813-1820	196	2018
CommonRoad: Composable benchmarks for motion planning on roads M Althoff, M Koschi, S Manzinger 2017 IEEE Intelligent Vehicles Symposium (IV), 719-726	191	2017
An Overview of Smart Contract: Architecture, Applications, and Future Trends S Wang, Y Yuan, X Wang, J Li, R Qin, FY Wang 2018 IEEE Intelligent Vehicles Symposium (IV), 108-113	189	2018
Agreeing to cross: How drivers and pedestrians communicate A Rasouli, I Kotseruba, JK Tsotsos 2017 IEEE Intelligent Vehicles Symposium (IV), 264-269	180	2017
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers P Wang, CY Chan, A de La Fortelle 2018 IEEE Intelligent Vehicles Symposium (IV), 1379-1384	169	2018
Deep learning algorithm for autonomous driving using GoogLeNet M Al-Qizwini, I Barjasteh, H Al-Qassab, H Radha 2017 IEEE Intelligent Vehicles Symposium (IV), 89-96	168	2017
Anomaly detection of CAN bus messages through analysis of ID sequences M Marchetti, D Stabili 2017 IEEE Intelligent Vehicles Symposium (IV), 1577-1583	159	2017
Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles C Hubmann, M Becker, D Althoff, D Lenz, C Stiller 2017 IEEE Intelligent Vehicles Symposium (IV), 1671-1678	156	2017
Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components CE Tuncali, G Fainekos, H Ito, J Kapinski 2018 IEEE Intelligent Vehicles Symposium (IV), 1555-1562	154	2018
Generalizable intention prediction of human drivers at intersections DJ Phillips, TA Wheeler, MJ Kochenderfer 2017 IEEE Intelligent Vehicles Symposium (IV), 1665-1670	126	2017

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