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Daxin Tian
Researcher at Beihang University
Publications - 147
Citations - 2130
Daxin Tian is an academic researcher from Beihang University. The author has contributed to research in topics: Computer science & Vehicular ad hoc network. The author has an hindex of 18, co-authored 110 publications receiving 1080 citations. Previous affiliations of Daxin Tian include Chinese Ministry of Public Security & Changsha University of Science and Technology.
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Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
TL;DR: A review of recent deep-learning-based data fusion approaches that leverage both image and point cloud data processing and identifies gaps and over-looked challenges between current academic researches and real-world applications.
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A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks
TL;DR: A multiuser noncooperative computation offloading game to adjust the offloading probability of each vehicle in vehicular MEC networks and design the payoff function considering the distance between the vehicle and MEC access point, application and communication model, and multivehicle competition for MEC resources is proposed.
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Narrowband Internet of Things: Simulation and Modeling
TL;DR: The construction of the NB-IoT model based on OPNET and the verification of its characteristics, such as wide coverage and high channel utilization, and the performance of NB- IoT, wherein uplink time delay is lower than 10 s, channel utilization is higher than that of LTE network, and coverage area is larger than LTE network.
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A Dynamic and Self-Adaptive Network Selection Method for Multimode Communications in Heterogeneous Vehicular Telematics
TL;DR: The experimental results prove the effectiveness of the bioinspired scheme and confirm that the proposed network selection method provides better global performance when compared with the utility function method with greedy optimization.
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Automated on-ramp merging control algorithm based on internet-connected vehicles
TL;DR: Simulation results showed the scenario that merging a platoon into the two vehicles on main lane affects the traffic flow more seriously than letting each individual vehicle on ramp lane consecutively to merge in between the two Vehicles in the main lane under the same initial condition.