过去一年中添加的文章,按日期排序

Autonomous Driving Continuous Visual-Lidar Alignment

Y Xiong, X Gao, G Zhang, G Zhang, J Liu… - Available at SSRN … - papers.ssrn.com
2 天前 - autonomous driving, namely the RGB camera and LiDAR device. We propose a
continuous automated … various scenarios, including publicly available datasets and real-world …

[HTML][HTML] A method to assess the safety implications of authority transitions in automated driving

E Papadimitriou, O Athanasiadis, G Klunder… - Traffic Safety …, 2024 - tsr.international
4 天前 - … takeover situations and assessing the safety of authority transitions. A traffic simulation
… the safety impacts of authority transitions in automated driving, and developed the new …

[HTML][HTML] Integrating LiDAR Sensor Data into Microsimulation Model Calibration for Proactive Safety Analysis

M Igene, Q Luo, K Jimee, M Soltanirad, T Bataineh… - Sensors, 2024 - mdpi.com
4 天前 - … requiring real-time response, such as autonomous vehicles. … the simulation to
reflect real-world traffic behavior better. … a simulation of the real-world scenario. The calibrated …

[HTML][HTML] Risk Performance Analysis on Navigation of MASS via a Hybrid Framework of STPA and HMM: Evidence from the Human–Machine Co-Driving Mode

W Li, W Chen, Y Guo, S Hu, Y Xi, J Wu - Journal of Marine Science and …, 2024 - mdpi.com
5 天前 - … Typical navigation scenarios of conventional ships in coastal waters were chosen,
and real-… Results suggest that in the same scenario, process risks differ among the analyzed …

Lane-Aware Dynamic Spatio-Temporal Transformer for Unimodal Trajectory Prediction

Y Yuan, W Li, Y Liang, WP Tay… - … on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
5 天前 - … We consider a traffic scenario with N participating vehicles consisting of: • Ego
vehicle: an autonomous vehicle that uses predictive planning to navigate within a local area. • …

WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning

Y Li, C Ge, C Li, C Xu, M Tomizuka, C Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
5 天前 - … , with around 3 million Q&As covering various topics of autonomous driving from map
traffic rule-induced interaction information Firstly, in Figure 1, we show a traffic scenario of …

Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks

T Sachweh, P Haritz, T Liebig - arXiv preprint arXiv:2407.04481, 2024 - arxiv.org
5 天前 - … control in real-world domains such as production plants, autonomous vehicles, or
traffic-… In such scenarios, Petri nets (PNs) are often available for flowcharts or process steps, …

[HTML][HTML] Navigating the non-compliance effects on system optimal route guidance using reinforcement learning

H Yun, E Kim, SW Ham, DK Kim - Transportation Research Part C …, 2024 - Elsevier
6 天前 - … a scenario where the transportation management center (TMC) guides future
autonomous vehicles (… autonomy based on their own judgment. We initially model a fully compliant …

Decentralized hierarchical trajectory programming for mixed traffic flow at the tunnel entrance bottleneck area

X Liu, M Zhao, L Wang, D Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
6 天前 - … The use of connected and autonomous vehicles (CAVs) is a powerful tool for
creating … bottleneck area under the mixed traffic scenario. All vehicles are moving in the same …

Stochastic MPC for Autonomous Vehicles in Uncertain Situations

Q Zhang, SP Salih - 2024 - odr.chalmers.se
7 天前 - … Although CARLA provides a significant step towards real-world scenarios, it
operates … of realistic traffic scenarios, with the ego vehicle and the surrounding traffic vehicles