A Comprehensive Review on Deep Learning-Based Motion Planning and End-To-End Learning for Self-Driving Vehicle
M Ganesan, S Kandhasamy, B Chokkalingam… - IEEE …, 2024 - ieeexplore.ieee.org
Self-Driving Vehicles (SDVs) are increasingly popular, with companies like Google, Uber,
and Tesla investing significantly in self-driving technology. These vehicles could transform …
and Tesla investing significantly in self-driving technology. These vehicles could transform …
Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement
J Antony, M Suchetha - IEEE Access, 2023 - ieeexplore.ieee.org
The significance of forecasting the behavior of road agents is on the rise, particularly in
Advanced Driver Assistance Systems (ADAS) enhancement. Predicting road agents' …
Advanced Driver Assistance Systems (ADAS) enhancement. Predicting road agents' …
[PDF][PDF] An Improved Machine Learning Method to Speed Up the Trajectory Prediction: Taking Melbourne Airport as a Study Case
The safety and efficiency of airspace operations largely depend on the accurate prediction of
4D trajectories in dense air traffic. Traditional methods are progressively making way for …
4D trajectories in dense air traffic. Traditional methods are progressively making way for …