International audienceSafety and comfort applications are addressed using Driver Assistance (DA) systems like Adaptive Cruise Control (ACC) system using Long Range Radar (LRR) or Short Range Radar (SRR) or both. Novel waveforms and functionalities applied to next generation DA multi-sensor systems and their corresponding complex algorithms require advanced digital hardware supporting high computation rate and severe real-time constraints. In this paper, we present a flexible FPGA-based architecture for digital control and signal processing of a DA system. The considered DA system makes use of a new particular waveform to enhance capabilities of old generation ACC radar. Hardware/software partitioning has been explored in order to match the ...
This master's thesis describes ways of signal processing via digital devices. Major field of interes...
Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as well as impro...
To realize the full potential of autonomous navigation, computing at the edge of network infrastruct...
International audienceSafety and comfort applications are addressed using Driver Assistance (DA) sys...
There is a renewed interest in low-cost Radio Detection and Ranging (Radar) with the growth in autom...
The paper presents the design and test of a compact multi-channel platform for acquisition and real-...
As a driving aid system, automotive radar plays a more and more important role in reducing traffic a...
This work describes design and implementation of radar processor in FPGA. The theoretical part is fo...
Autonomous cars are top representative product of cyber-physical systems, Industry 4.0 and 5G commun...
Recent innovations like reconfigurable computing have allowed to easy experiment new architectures ...
This article addresses the signal processing challenges for the design of a radar-on-chip/in-package...
Abstract--- This paper discusses the design of an entire Multiple Target Tracking (MTT) system. Use ...
In this thesis a Xilinx Virtex 5 FPGA platform based signal processing algorithm has been developed ...
The ModEasy project seeks to develop techniques and software tools to aid in the development of reli...
The paper presents the design of HDL macrocells, working as hardware accelerators to achieve real ti...
This master's thesis describes ways of signal processing via digital devices. Major field of interes...
Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as well as impro...
To realize the full potential of autonomous navigation, computing at the edge of network infrastruct...
International audienceSafety and comfort applications are addressed using Driver Assistance (DA) sys...
There is a renewed interest in low-cost Radio Detection and Ranging (Radar) with the growth in autom...
The paper presents the design and test of a compact multi-channel platform for acquisition and real-...
As a driving aid system, automotive radar plays a more and more important role in reducing traffic a...
This work describes design and implementation of radar processor in FPGA. The theoretical part is fo...
Autonomous cars are top representative product of cyber-physical systems, Industry 4.0 and 5G commun...
Recent innovations like reconfigurable computing have allowed to easy experiment new architectures ...
This article addresses the signal processing challenges for the design of a radar-on-chip/in-package...
Abstract--- This paper discusses the design of an entire Multiple Target Tracking (MTT) system. Use ...
In this thesis a Xilinx Virtex 5 FPGA platform based signal processing algorithm has been developed ...
The ModEasy project seeks to develop techniques and software tools to aid in the development of reli...
The paper presents the design of HDL macrocells, working as hardware accelerators to achieve real ti...
This master's thesis describes ways of signal processing via digital devices. Major field of interes...
Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as well as impro...
To realize the full potential of autonomous navigation, computing at the edge of network infrastruct...