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Task-driven controllable scenario generation framework based on AOG
Sampling, generation, and evaluation of scenarios are essential steps for intelligent testing
of autonomous vehicles. Since uncertainty in driving behavior always leads to different …
of autonomous vehicles. Since uncertainty in driving behavior always leads to different …
A flexible and explainable vehicle motion prediction and inference framework combining semi-supervised AOG and ST-LSTM
Accurate trajectory prediction of surrounding vehicles is important for automated vehicles. To
solve several existing problems of maneuver-based trajectory prediction, we propose four …
solve several existing problems of maneuver-based trajectory prediction, we propose four …
iPCS: intersection platoon control scheme for non-traffic light community
H Wang, R Wang, T Wu, K Zhu… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
The Cooperative Intersection Management (CIM) attracts more and more attention recently.
It combines Vehicle-to-Everything (V2X) communications and motion control technology to …
It combines Vehicle-to-Everything (V2X) communications and motion control technology to …
[HTML][HTML] Variation in capacity with a change in driver behaviour
AK Das, U Chattaraj - Transportation Engineering, 2020 - Elsevier
In this paper cellular automata (CA) has been used to represent the difference in capacity
values with change in driving characteristics. Driving behaviour is one of the key reasons for …
values with change in driving characteristics. Driving behaviour is one of the key reasons for …
[PERNYATAAN][C] Variation in capacity with a change in driver behavior
KMJ ARUNA - International Journal of Highway and Transportation …, 2024