Výsledky vyhledávání - "Proceedings (IEEE Conference on Intelligent Transportation Systems)"

Microscopic Traffic Simulation using SUMO Autor Lopez, Pablo Alvarez, Wiessner, Evamarie, Behrisch, Michael, Bieker-Walz, Laura, Erdmann, Jakob, Flotterod, Yun-Pang, Hilbrich, Robert, Lucken, Leonhard, Rummel, Johannes, Wagner, Peter

“…Microscopic traffic simulation is an invaluable tool for traffic research. In recent years, both the scope of research and the capabilities of the tools have…”
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The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems Autor Krajewski, Robert, Bock, Julian, Kloeker, Laurent, Eckstein, Lutz

“…Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry. This…”
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LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving Autor Rong, Guodong, Shin, Byung Hyun, Tabatabaee, Hadi, Lu, Qiang, Lemke, Steve, Mozeiko, Martins, Boise, Eric, Uhm, Geehoon, Gerow, Mark, Mehta, Shalin, Agafonov, Eugene, Kim, Tae Hyung, Sterner, Eric, Ushiroda, Keunhae, Reyes, Michael, Zelenkovsky, Dmitry, Kim, Seonman

“…Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car…”
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Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning Autor Hoel, Carl-Johan, Wolff, Krister, Laine, Leo

“…This paper introduces a method, based on deep reinforcement learning, for automatically generating a general purpose decision making function. A Deep Q-Network…”
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A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications Autor Wang, Ziran, Wu, Guoyuan, Barth, Matthew J.

“…Connected and automated vehicles (CAVs) have the potential to address the safety, mobility and sustainability issues of our current transportation systems…”
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Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime Autor Dai, Dengxin, Gool, Luc Van

“…This work addresses the problem of semantic image segmentation of nighttime scenes. Although considerable progress has been made in semantic image…”
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PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving Autor Xiao, Pengchuan, Shao, Zhenlei, Hao, Steven, Zhang, Zishuo, Chai, Xiaolin, Jiao, Judy, Li, Zesong, Wu, Jian, Sun, Kai, Jiang, Kun, Wang, Yunlong, Yang, Diange

“…The accelerating development of autonomous driving technology has placed greater demands on obtaining large amounts of high-quality data. Representative,…”
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OpenCDA: An Open Cooperative Driving Automation Framework Integrated with Co-Simulation Autor Xu, Runsheng, Guo, Yi, Han, Xu, Xia, Xin, Xiang, Hao, Ma, Jiaqi

“…Although Cooperative Driving Automation (CDA) has attracted considerable attention in recent years, there remain numerous open challenges in this field. The…”
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Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Autor Feng, Di, Rosenbaum, Lars, Dietmayer, Klaus

“…To assure that an autonomous car is driving safely on public roads, its object detection module should not only work correctly, but show its prediction…”
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HOME: Heatmap Output for future Motion Estimation Autor Gilles, Thomas, Sabatini, Stefano, Tsishkou, Dzmitry, Stanciulescu, Bogdan, Moutarde, Fabien

“…In this paper, we propose HOME, a framework tackling the motion forecasting problem with an image output representing the probability distribution of the…”
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FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection Autor Xu, Shaoqing, Zhou, Dingfu, Fang, Jin, Yin, Junbo, Bin, Zhou, Zhang, Liangjun

“…Accurate detection of obstacles in 3D is an essential task for autonomous driving and intelligent transportation. In this work, we propose a general multimodal…”
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BirdNet: A 3D Object Detection Framework from LiDAR Information Autor Beltran, Jorge, Guindel, Carlos, Moreno, Francisco Miguel, Cruzado, Daniel, Garcia, Fernando, De La Escalera, Arturo

“…Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite…”
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Model-free Deep Reinforcement Learning for Urban Autonomous Driving Autor Chen, Jianyu, Yuan, Bodi, Tomizuka, Masayoshi

“…Urban autonomous driving decision making is challenging due to complex road geometry and multi-agent interactions. Current decision making methods are mostly…”
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Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets Autor Nishi, Tomoki, Otaki, Keisuke, Hayakawa, Keiichiro, Yoshimura, Takayoshi

“…Traffic signal control can mitigate traffic congestion and reduce travel time. A model-free reinforcement learning (RL) approach is a powerful framework for…”
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Lanelet2: A high-definition map framework for the future of automated driving Autor Poggenhans, Fabian, Pauls, Jan-Hendrik, Janosovits, Johannes, Orf, Stefan, Naumann, Maximilian, Kuhnt, Florian, Mayr, Matthias

“…Although accurate and comprehensive maps are indispensable for highly automated driving, especially in complex urban scenarios, there are hardly any…”
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Travel time prediction with LSTM neural network Autor Duan, Yanjie, L.V., Yisheng, Wang, Fei-Yue

“…Travel time is one of the key concerns among travelers before starting a trip and also an important indicator of traffic conditions. However, travel time…”
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High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning Autor Mirchevska, Branka, Pek, Christian, Werling, Moritz, Althoff, Matthias, Boedecker, Joschka

“…Machine learning techniques have been shown to outperform many rule-based systems for the decision-making of autonomous vehicles. However, applying machine…”
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Towards blockchain-based intelligent transportation systems Autor Yuan, Yong, Wang, Fei-Yue

“…Blockchain, widely known as one of the disruptive technologies emerged in recent years, is experiencing rapid development and has the full potential of…”
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TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving Autor Zheng, Lianqing, Ma, Zhixiong, Zhu, Xichan, Tan, Bin, Li, Sen, Long, Kai, Sun, Weiqi, Chen, Sihan, Zhang, Lu, Wan, Mengyue, Huang, Libo, Bai, Jie

“…The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential…”
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Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems Autor Ferdowsi, Aidin, Challita, Ursula, Saad, Walid, Mandayam, Narayan B.

“…The dependence of autonomous vehicles (AVs) on sensors and communication links exposes them to cyber-physical (CP) attacks by adversaries that seek to take…”
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