Steering angle prediction techniques for autonomous ground vehicles: a review
Unintentional lane departure accidents are one of the biggest reasons for the causalities that
occur due to human errors. By incorporating lane-keeping features in vehicles, many …
occur due to human errors. By incorporating lane-keeping features in vehicles, many …
What should be the input: Investigating the environment representations in sim-to-real transfer for navigation tasks
While training an end-to-end navigation network in the real world is usually costly,
simulation serves as a safe and low-cost tool in this training process. However, training …
simulation serves as a safe and low-cost tool in this training process. However, training …
Sliding-window temporal attention based deep learning system for robust sensor modality fusion for ugv navigation
We propose a novel temporal attention based neural network architecture for robotics tasks
that involve fusion of time series of sensor data, and evaluate the performance …
that involve fusion of time series of sensor data, and evaluate the performance …
Learning to navigate from simulation via spatial and semantic information synthesis with noise model embedding
While training an end-to-end navigation network in the real world is usually of high cost,
simulation provides a safe and cheap environment in this training stage. However, training …
simulation provides a safe and cheap environment in this training stage. However, training …
[PDF][PDF] Steering Angle Prediction Techniques for Autonomous Ground Vehicles: A Review
Unintentional lane departure accidents are one of the biggest reasons for the causalities that
occur due to human errors. By incorporating lane-keeping features in vehicles, many …
occur due to human errors. By incorporating lane-keeping features in vehicles, many …