A review of sensor technologies for perception in automated driving
After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …
market. Automated Driving systems, still in research phase and limited in their capabilities …
A review of deep learning-based methods for pedestrian trajectory prediction
BI Sighencea, RI Stanciu, CD Căleanu - Sensors, 2021 - mdpi.com
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …
the automotive industry, especially in the field of advanced driver assistance systems. The …
Radar-camera pixel depth association for depth completion
While radar and video data can be readily fused at the detection level, fusing them at the
pixel level is potentially more beneficial. This is also more challenging in part due to the …
pixel level is potentially more beneficial. This is also more challenging in part due to the …
Practical classification of different moving targets using automotive radar and deep neural networks
A Angelov, A Robertson… - IET Radar, Sonar & …, 2018 - Wiley Online Library
In this work, the authors present results for classification of different classes of targets (car,
single and multiple people, bicycle) using automotive radar data and different neural …
single and multiple people, bicycle) using automotive radar data and different neural …
System performance of a 79 GHz high-resolution 4D imaging MIMO radar with 1728 virtual channels
D Schwarz, N Riese, I Dorsch… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Future driver assistance and autonomous driving systems require high-resolution 4D
imaging radars that provide detailed and robust information about the vehicle's …
imaging radars that provide detailed and robust information about the vehicle's …
[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
Vehicular-motion-based DOA estimation with a limited amount of snapshots for automotive MIMO radar
The problem of high-resolution direction-of-arrival (DOA) estimation based on a limited
amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been …
amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been …
Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset
S Muckenhuber, E Museljic… - Journal of Intelligent …, 2022 - Taylor & Francis
Radar is a key sensor to achieve a reliable environment perception for advanced driver
assistance system and automated driving (ADAS/AD) functions. Reducing the development …
assistance system and automated driving (ADAS/AD) functions. Reducing the development …
Simultaneous visible light communication and distance measurement based on the automotive lighting
B Béchadergue, L Chassagne… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Visible light communication could be an interesting complement to the IEEE 802.11 p-based
vehicle-to-vehicle communication systems that are sensitive to interferences and delays in …
vehicle-to-vehicle communication systems that are sensitive to interferences and delays in …
A novel approach to unambiguous doppler beam sharpening for forward-looking mimo radar
S Yuan, P Aubry, F Fioranelli… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The ambiguity problem of targets in Doppler beam sharpening (DBS) with forward-looking
radar is considered. While DBS is proposed earlier to improve the angular resolution of the …
radar is considered. While DBS is proposed earlier to improve the angular resolution of the …