Planning-based Prediction for Pedestrians, Ziebart B. et al. (2009). 🎞️ Learning for autonomous navigation, Bagnell A. et al. (2010). Learning Autonomous Driving Styles and Maneuvers from Expert Demonstra
Traditional path planning methods often struggle with dynamic obstacles, particularly when vehicles and pedestrians frequently change positions. To overcome these limitations, we introduce the GR-RRT model, which integrates V2X communication, a GRU-based dynamic obstacle prediction module, and an adaptive ...
Moreover, Zhang, Su, Gao, and Zhang (2017a) proposes a traffic signal scheduling strategy which takes into account both vehicles and pedestrians presence. After developing a mathematical model for the pedestrians flow and for the vehicle traffic network (more than one intersection/junction), the ...
We also propose a multi-model fusion method for vehicle trajectory planning that integrates the vehicle model, road model, and return function into the reinforcement learning environment and interacts with the reinforcement learning subject. The main body of reinforcement learning is based on the actor...
Planning-based Prediction for Pedestrians, Ziebart B. et al. (2009). 🎞️ Learning for autonomous navigation, Bagnell A. et al. (2010). Learning Autonomous Driving Styles and Maneuvers from Expert Demonstration, Silver D. et al. (2012). Learning Driving Styles for Autonomous Vehicles from ...
Prediction-uncertainty-aware decision- making for autonomous vehicles. IEEE Transactions on Intelligent Vehicles, 2022. [3] X L Tang, J X Chen, K Yang, et al. Visual detection and deep reinforcement learning-based car following and energy management for hybrid electric vehicles. IEEE ...
The work began from the premise that cities are complex systems, with urban health outcomes dependent on many interactions and feedback loops, so that prediction within the plan- ning process is fraught with difficulties and unintended consequences are common. They provided, amongst others, separate...
(a) Construction of the game-theoretical model for human motion; (b) creation of the game-theoretical trajectory planner based on the model previously designed, creation of the virtual environment, and evaluation of the performance parameters; (c) creation of the videos with pedestrians and the ...
It is very necessary for an intelligent heavy truck to have the ability to prevent rollover independently. However, it was rarely considered in intelligent vehicle motion planning. To improve rollover stability, a motion planning strategy with autonomous
Try to create voids at ground level to improve ventilation for pedestrians. This will improve not only the air movement at the ground level (thus improving pedestrian comfort), but also help to remove pollutants and heat generated at ground level. The channelling effect created by the void also...