暂无分享,去创建一个
Yinhai Wang | Meixin Zhu | Zhiyong Cui | Ruimin Ke | Yanlong Chen | Yinhai Wang | Ruimin Ke | Zhiyong Cui | Meixin Zhu | Yanlong Chen
[1] Klaus C. J. Dietmayer,et al. Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).
[2] Alberto Broggi,et al. PROUD—Public Road Urban Driverless-Car Test , 2015, IEEE Transactions on Intelligent Transportation Systems.
[3] Tamás Tettamanti,et al. Vehicle-In-the-Loop Test Environment for Autonomous Driving with Microscopic Traffic Simulation , 2018, 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES).
[4] Tim Fingscheidt,et al. Towards Corner Case Detection for Autonomous Driving , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[5] Bart De Schutter,et al. Safety assessment of automated vehicles: how to determine whether we have collected enough field data? , 2019, Traffic injury prevention.
[6] Yinhai Wang,et al. Edge-Based Traffic Flow Data Collection Method Using Onboard Monocular Camera , 2020 .
[7] Jiaqi Ma,et al. Hardware-in-the-Loop Testing of Connected and Automated Vehicle Applications: A Use Case for Queue-Aware Signalized Intersection Approach and Departure , 2018, Transportation Research Record: Journal of the Transportation Research Board.
[8] Sanjit A. Seshia,et al. Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World , 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).
[9] Yu Wang,et al. Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle , 2020 .
[10] Satyandra K. Gupta,et al. Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles , 2018, J. Syst. Softw..
[11] Yi Zhang,et al. Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology , 2019, IEEE Transactions on Intelligent Transportation Systems.
[12] Yinhai Wang,et al. Testing Transit Bus Collision Avoidance Warning Systems in Revenue Operations - Active Safety Collision Warning Pilot in Washington State , 2017 .
[13] Yinhai Wang,et al. A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Jinjun Tang,et al. Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow , 2019, IEEE Transactions on Intelligent Transportation Systems.
[15] Germán Ros,et al. CARLA: An Open Urban Driving Simulator , 2017, CoRL.
[16] Li Li,et al. Intelligence Testing for Autonomous Vehicles: A New Approach , 2016, IEEE Transactions on Intelligent Vehicles.
[17] Kenji Sato,et al. Development of an Augmented Reality Vehicle for Driver Performance Evaluation , 2017, IEEE Intelligent Transportation Systems Magazine.
[18] Ding Zhao,et al. Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers , 2016, IEEE Transactions on Intelligent Transportation Systems.
[19] Markus Maurer,et al. Stadtpilot: First fully autonomous test drives in urban traffic , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[20] Tarek Sayed,et al. Automated Analysis of Pedestrian–Vehicle Conflicts Using Video Data , 2009 .
[21] Yiheng Feng,et al. Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies , 2019, IEEE Transactions on Intelligent Transportation Systems.
[22] Yiheng Feng,et al. An Augmented Reality Environment for Connected and Automated Vehicle Testing and Evaluation* , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[23] Alberto Broggi,et al. Extensive Tests of Autonomous Driving Technologies , 2013, IEEE Transactions on Intelligent Transportation Systems.
[24] Ruimin Ke,et al. Testing Automated Collision Avoidance Warning Systems in Transit Bus Revenue Operations - Active Safety Collision Warning Pilot in Washington State , 2018 .
[25] Yinhai Wang,et al. A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices , 2020 .
[26] Sindelfingen. Simulation in development and testing of autonomous vehicles , 2022 .
[27] Yutaka Satoh,et al. Drive Video Analysis for the Detection of Traffic Near-Miss Incidents , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[28] Yinhai Wang,et al. Video Analytics towards Vision Zero , 2017 .
[29] Zsolt Szalay,et al. Vehicle-In-The-Loop (VIL) and Scenario-In-The-Loop (SCIL) Automotive Simulation Concepts from the Perspectives of Traffic Simulation and Traffic Control , 2019 .
[30] Yinhai Wang,et al. Testing an Automated Collision Avoidance and Emergency Braking System for Buses , 2020 .
[31] Nanning Zheng,et al. Parallel testing of vehicle intelligence via virtual-real interaction , 2019, Science Robotics.
[32] Yiheng Feng,et al. Safety assessment of highly automated driving systems in test tracks: A new framework. , 2020, Accident; analysis and prevention.
[33] Zong Tian,et al. A novel method of vehicle-pedestrian near-crash identification with roadside LiDAR data. , 2018, Accident; analysis and prevention.
[34] Petter Nilsson,et al. Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving , 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[35] Eric Thorn,et al. A Framework for Automated Driving System Testable Cases and Scenarios , 2018 .
[36] Liang Zheng,et al. The 4th AI City Challenge , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[37] Ashish Kapoor,et al. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles , 2017, FSR.
[38] Thomas A. Dingus,et al. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .
[39] Constantine Samaras,et al. Cost and benefit estimates of partially-automated vehicle collision avoidance technologies. , 2016, Accident; analysis and prevention.
[40] Yinhai Wang,et al. Advanced framework for microscopic and lane‐level macroscopic traffic parameters estimation from UAV video , 2020, IET Intelligent Transport Systems.
[41] Takehiko Doi,et al. Associations of Near-Miss Traffic Incidents with Attention and Executive Function among Older Japanese Drivers , 2018, Gerontology.
[42] Ang Li,et al. PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Tarek Sayed,et al. Large-Scale Automated Analysis of Vehicle Interactions and Collisions , 2010 .
[44] Emilio Frazzoli,et al. Revisiting Street Intersections Using Slot-Based Systems , 2016, PloS one.
[45] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[46] Matthias Althoff,et al. Automatic Generation of Safety-Critical Test Scenarios for Collision Avoidance of Road Vehicles , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[47] Tarek Sayed,et al. Automated Safety Diagnosis of Vehicle–Bicycle Interactions Using Computer Vision Analysis , 2013 .
[48] Jiaqi Ma,et al. A proof-of-concept field experiment on cooperative lane change maneuvers using a prototype connected automated vehicle testing platform , 2020, J. Intell. Transp. Syst..
[49] Ding Zhao,et al. Accelerated Evaluation of Automated Vehicles. , 2016 .
[50] Jiang Yu Zheng,et al. Predict Vehicle Collision by TTC From Motion Using a Single Video Camera , 2018, IEEE Transactions on Intelligent Transportation Systems.
[51] O. Mano,et al. Forward collision warning with a single camera , 2004, IEEE Intelligent Vehicles Symposium, 2004.
[52] Jin Zhang,et al. PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking , 2017 .
[53] Hani S. Mahmassani,et al. Near-Crash Identification in a Connected Vehicle Environment , 2014 .