Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
LiDAR-based detection, tracking, and property estimation: A contemporary review
Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …
innovation areas trying to improve their accuracy in different parameters to fit various real …
Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications
It is vital that autonomous vehicles acquire accurate and real-time information about objects
in their vicinity, which fully guarantees the safety of the passengers and vehicle in various …
in their vicinity, which fully guarantees the safety of the passengers and vehicle in various …
Multiple sensor fusion and classification for moving object detection and tracking
The accurate detection and classification of moving objects is a critical aspect of advanced
driver assistance systems. We believe that by including the object classification from multiple …
driver assistance systems. We believe that by including the object classification from multiple …
A multi-sensor fusion system for moving object detection and tracking in urban driving environments
A self-driving car, to be deployed in real-world driving environments, must be capable of
reliably detecting and effectively tracking of nearby moving objects. This paper presents our …
reliably detecting and effectively tracking of nearby moving objects. This paper presents our …
A new integrated collision risk assessment methodology for autonomous vehicles
Real-time risk assessment of autonomous driving at tactical and operational levels is
extremely challenging since both contextual and circumferential factors should concurrently …
extremely challenging since both contextual and circumferential factors should concurrently …
Efficient L-shape fitting for vehicle detection using laser scanners
The detection of surrounding vehicles is an essential task in autonomous driving, which has
been drawing enormous attention recently. When using laser scanners, L-Shape fitting is a …
been drawing enormous attention recently. When using laser scanners, L-Shape fitting is a …
Three-dimensional risk maps
M Slusar - US Patent 11,307,042, 2022 - Google Patents
(74) Attorney, Agent, or Firm-Dinsmore & Shohl, LLP (57) ABSTRACT Systems including
one or more sensors, coupled to a vehicle, may detect sensor information and provide the …
one or more sensors, coupled to a vehicle, may detect sensor information and provide the …
Dynamic multi-lidar based multiple object detection and tracking
Environmental perception plays an essential role in autonomous driving tasks and demands
robustness in cluttered dynamic environments such as complex urban scenarios. In this …
robustness in cluttered dynamic environments such as complex urban scenarios. In this …
Real-time avoidance strategy of dynamic obstacles via half model-free detection and tracking with 2d lidar for mobile robots
Avoidance is a necessary capability for a mobile robot to perform tasks, such as delivering
objects in household or industrial scenarios. The existing avoidance strategy based on …
objects in household or industrial scenarios. The existing avoidance strategy based on …