LiDAR and camera fusion approach for object distance estimation in self-driving vehicles
The fusion of light detection and ranging (LiDAR) and camera data in real-time is known to
be a crucial process in many applications, such as in autonomous driving, industrial …
be a crucial process in many applications, such as in autonomous driving, industrial …
A RGB-D based real-time multiple object detection and ranging system for autonomous driving
Real-time object detection and ranging of multiple objects on the road are the essential
tasks in the field of autonomous driving. In this paper, we introduce a system for …
tasks in the field of autonomous driving. In this paper, we introduce a system for …
Kalman-filter-based sensor fusion applied to road-objects detection and tracking for autonomous vehicles
W Farag - Proceedings of the Institution of Mechanical …, 2021 - journals.sagepub.com
In this article, a real-time road-Object Detection and Tracking (LR_ODT) method for
autonomous driving is proposed. This method is based on the fusion of lidar and radar …
autonomous driving is proposed. This method is based on the fusion of lidar and radar …
Pixels and 3-D points alignment method for the fusion of camera and LiDAR data
The fusion of light detection and ranging (LiDAR) and camera data is a promising approach
to improve the environmental perception and recognition for intelligent vehicles because of …
to improve the environmental perception and recognition for intelligent vehicles because of …
Fusion of LiDAR and camera sensor data for environment sensing in driverless vehicles
V De Silva, J Roche, A Kondoz - 2017 - repository.lboro.ac.uk
Driverless vehicles operate by sensing and perceiving its surrounding environment to make
the accurate driving decisions. A combination of several different sensors such as LiDAR …
the accurate driving decisions. A combination of several different sensors such as LiDAR …
An automated driving systems data acquisition and analytics platform
In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
A low cost sensors approach for accurate vehicle localization and autonomous driving application
R Vivacqua, R Vassallo, F Martins - Sensors, 2017 - mdpi.com
Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best current precise localization system based on the Global …
centimeters. Even the best current precise localization system based on the Global …
Robust inter-vehicle distance estimation method based on monocular vision
L Huang, T Zhe, J Wu, Q Wu, C Pei, D Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Advanced driver assistance systems (ADAS) based on monocular vision are rapidly
becoming a popular research subject. In ADAS, inter-vehicle distance estimation from an in …
becoming a popular research subject. In ADAS, inter-vehicle distance estimation from an in …
Inter-vehicle distance estimation method based on monocular vision using 3D detection
T Zhe, L Huang, Q Wu, J Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Most autonomous vehicles build their perception systems on expensive sensors, such as
LIDAR, RADAR, and high-precision Global Positioning System (GPS). However, cameras …
LIDAR, RADAR, and high-precision Global Positioning System (GPS). However, cameras …
Sensors and sensor fusion in autonomous vehicles
In this paper, we are presenting a short overview of the sensors and sensor fusion in
autonomous vehicles. We focused on the sensor fusion from the key sensors in autonomous …
autonomous vehicles. We focused on the sensor fusion from the key sensors in autonomous …