Trajectory Planning of Automated Vehicles Using Real-Time Map Updates
The development of connected and automated vehicles (CAVs) presents a great opportunity
to extend the current range of vehicle vision, by gathering information outside of its sensors …
to extend the current range of vehicle vision, by gathering information outside of its sensors …
Time-to-collision-aware lane-change strategy based on potential field and cubic polynomial for autonomous vehicles
Making safe and successful lane changes (LCs) is one of the many vitally important
functions of autonomous vehicles (AVs) that are needed to ensure safe driving on …
functions of autonomous vehicles (AVs) that are needed to ensure safe driving on …
Enhancing Autonomous Lane-Changing Safety: Deep Reinforcement Learning via Pre-Exploration in Parallel Imaginary Environments
The connected and autonomous vehicles combined with deep reinforcement learning (DRL)
are capable of handling complex driving scenarios. However, due to the random exploration …
are capable of handling complex driving scenarios. However, due to the random exploration …
Pedestrian Environment Model for Automated Driving
A Holzbock, A Tsaregorodtsev… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Besides interacting correctly with other vehicles, automated vehicles should also be able to
react in a safe manner to vulnerable road users like pedestrians or cyclists. For a safe …
react in a safe manner to vulnerable road users like pedestrians or cyclists. For a safe …