Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
[HTML][HTML] Multi-scale pedestrian intent prediction using 3D joint information as spatio-temporal representation
There has been a rise of use of Autonomous Vehicles on public roads. With the predicted
rise of road traffic accidents over the coming years, these vehicles must be capable of safely …
rise of road traffic accidents over the coming years, these vehicles must be capable of safely …
Automated vehicles sharing the road: Surveying detection and localization of pedalcyclists
J Barnett, N Gizinski… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Automated Vehicles (AVs) must comply with traffic laws, including those requiring motorists
to maintain safe distances when passing pedalcyclists. We review relevant US legislation …
to maintain safe distances when passing pedalcyclists. We review relevant US legislation …
Cyclists' crossing intentions when interacting with automated vehicles: A virtual reality study
Most of cyclists' fatalities originate from collisions with motorized vehicles. It is expected that
automated vehicles (AV) will be safer than human-driven vehicles, but this depends on the …
automated vehicles (AV) will be safer than human-driven vehicles, but this depends on the …
Understanding Interaction Strategies in Groups: A Two-layer Interaction Model for Multi-cyclist Motion Prediction
For autonomous vehicles (AVs), accurately predicting the future motions of Vulnerable Road
Users (VRUs) is essential for safe and reliable interactions. Especially in cities with many …
Users (VRUs) is essential for safe and reliable interactions. Especially in cities with many …
[PDF][PDF] Fast synthetic LiDAR rendering via spherical UV unwrapping of equirectangular Z-buffer images
LiDAR data is becoming increasingly essential with the rise of autonomous vehicles. Its
ability to provide 360deg horizontal field of view of point cloud, equips self-driving vehicles …
ability to provide 360deg horizontal field of view of point cloud, equips self-driving vehicles …
[HTML][HTML] Self-perception and general perception of the safety impact of autonomous vehicles on pedestrians, bicyclists, and people with ambulatory disability
For autonomous vehicles (AVs) to receive general acceptance, society must have a positive
perception about their safety impact on vulnerable road users. Using data from a statewide …
perception about their safety impact on vulnerable road users. Using data from a statewide …
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks
Inferring the intended actions of road-sharing users with autonomous ground vehicles in
particularly vulnerable ones like cyclists is considered one of the tough tasks facing the wide …
particularly vulnerable ones like cyclists is considered one of the tough tasks facing the wide …
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments
Having a profound understanding of the surrounding environment is considered one of the
crucial tasks for the reliable operation of future self-driving cars. Light Detection and …
crucial tasks for the reliable operation of future self-driving cars. Light Detection and …