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We present a data fusion methodology using heterogeneous Sensors (Lidar & Camera). Our methodology is based on an FPGA approach to speed up the processing time.
Abstract— The new era of autonomous vehicles is considered as one of hot topics in Cyber Physical Systems exploration. It uses many sensors and functions to ...
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In this paper, we survey the computer vision FPGA-based works from the literature targeting automotive applications over the last decade. Based on the survey, ...
Jan 15, 2018 · In this paper, we propose a Multi-Sensor Data Fusion (MSDF) embedded design for vehicle perception tasks using stereo camera and Light Detection ...
This study investigates the potential of field-programmable gate arrays (FPGAs) as hardware accelerators for deep-learning tasks in self-driving cars. This...
A Multi-Sensor Data Fusion (MSDF) embedded design for vehicle perception tasks using stereo camera and Light Detection and Ranging (LIDAR) sensors was ...
Mar 5, 2021 · In this paper, we review how PerceptIn developed its computing system by relying heavily on FPGAs, which perform not only heterogeneous sensor ...
The approach fuses four heterogeneous sensor sources (inertial, kinematic, stereo vision and LIDAR) to maintain an accurate and consistent estimate of the ...
Missing: Vehicles. | Show results with:Vehicles.
The main idea of the framework focuses on pose graph optimization, where the variables to be estimated are the poses sampled along the robot trajectory, and ...
Jul 28, 2023 · The concept of autonomous vehicles has evolved into a real-world reality, set to alter transportation.
Missing: Heterogeneous | Show results with:Heterogeneous