Results 161 to 170 of about 1,707 (213)
Extracting Vehicle Trajectories from Partially Overlapping Roadside Radar. [PDF]
Sensors (Basel)Schrader M, Hainen A, Bittle J.
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V2X-communication assisted interference minimization for automotive radars [PDF]
China Communications, 2019 With the development of automated driving vehicles, more and more vehicles will be fitted with more than one automotive radars, and the radar mutual interference will become very significant.
Jingxuan Huang +2 more
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Photonic approach for on‐board and ground radars in automotive applications
IET Radar, Sonar and Navigation, 2018 While automotive radars are driving the development of high-performance technologies for remote sensing, pushing radiofrequency systems to higher frequencies, photonics is gradually changing the approach to micro- and millimetre wave RF generation and ...
Giovanni Serafino +2 more
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Chaos-Based Radars for Automotive Applications: Theoretical Issues and Numerical Simulation
IEEE Transactions on Vehicular Technology, 2008 This paper focuses on a possible application of chaotic signals as an alternative to more conventional spreading schemes in directsequence spread spectrum (DS-SS) automotive radars, the latter being a key component for future road safety systems. Due to
Ennio Gambi +2 more
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Novel automotive radar applications
, 2011 The first commercial automotive radars are designed for blind-spot detection, collision warning, and automatic cruise control. These radars, however, could be used for other applications as well, such as road condition classification,vulnerable road user detection, and data transfer from ubiquitous sensors or tags. This paper discusses automotive radar
Pursula Pekka, Viikari Ville
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The radar in the automotive domain
Annales Des Télécommunications, 2005The principle of radar is based on the propagation of electromagnetic radiation. Reflection of this radiation may be used to detect a target’s presence and, subsequently, to calculate its position and speed.
Jean-Paul Artis, Stéphane Kemkemian
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Scene Understanding With Automotive Radar
IEEE Transactions on Intelligent Vehicles, 2020Extracting semantic information solely from automotive radar data is a relatively new topic in the radar community. We present a complete pipeline to obtain semantic information for each target measured by a network of radar sensors. Static and dynamic objects are treated in two separate branches: In the first branch, a convolutional neural network ...
Ole Schumann +4 more
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Advanced Computing and Communications, 2017
Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to ...
Sujeet Patole +3 more
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Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to ...
Sujeet Patole +3 more
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SiGe 77GHz Automotive Radar Technology
2007 IEEE International Symposium on Circuits and Systems (ISCAS), 2007Recent advancements in SiGe device development enable the realization of 77GHz automotive long range radar systems using relatively low-cost silicon technology. This paper will discuss technology requirements for the radar design and present examples of receiver and transmitter circuit implementations.
W. M. Huang +14 more
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