Goal-directed occupancy prediction for lane-following actors
P Kaniarasu, GC Haynes… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Predicting the possible future behaviors of vehicles that drive on shared roads is a crucial
task for safe autonomous driving. Many existing approaches to this problem strive to distill all …
task for safe autonomous driving. Many existing approaches to this problem strive to distill all …
Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment
Convoy driving, a specialized form of collaborative autonomous driving, offers a promising
solution to the multifaceted challenges that transportation systems face, including traffic …
solution to the multifaceted challenges that transportation systems face, including traffic …
STFP: Simultaneous traffic scene forecasting and planning for autonomous driving
Autonomous vehicles must be able to understand the surrounding traffic flows and predict
the future traffic conditions for planning a safe maneuver. During prediction, the action of …
the future traffic conditions for planning a safe maneuver. During prediction, the action of …
GenAD: Generative End-to-End Autonomous Driving
Directly producing planning results from raw sensors has been a long-desired solution for
autonomous driving and has attracted increasing attention recently. Most existing end-to …
autonomous driving and has attracted increasing attention recently. Most existing end-to …
Towards cooperative motion planning for automated vehicles in mixed traffic
While motion planning techniques for automated vehicles in a reactive and anticipatory
manner are already widely presented, approaches to cooperative motion planning are still …
manner are already widely presented, approaches to cooperative motion planning are still …
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
Trajectory planning with comfort and safety in dynamic traffic scenarios for autonomous driving
Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning
Recent advancements in motion planning for Autonomous Vehicles (AVs) show great
promise in using expert driver behaviors in non-stationary driving environments. However …
promise in using expert driver behaviors in non-stationary driving environments. However …
An infrastructure-based cooperative driving framework for connected and automated vehicles
Z Yang - 2022 - deepblue.lib.umich.edu
Trajectory planning is a key component of the Connected and Automated Vehicle (CAV)
autonomy stack. It is a challenging task to plan a trajectory for a CAV that ensures safety …
autonomy stack. It is a challenging task to plan a trajectory for a CAV that ensures safety …
What lies in the shadows? Safe and computation-aware motion planning for autonomous vehicles using intent-aware dynamic shadow regions
One of the challenges of developing autonomous vehicles is planning in an inhabited
environment under sensing uncertainty as well as limited perception and computational …
environment under sensing uncertainty as well as limited perception and computational …