Automotive LiDAR technology: A survey

R Roriz, J Cabral, T Gomes - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …

The rise of radar for autonomous vehicles: Signal processing solutions and future research directions

I Bilik, O Longman, S Villeval… - IEEE signal processing …, 2019 - ieeexplore.ieee.org
Automotive radar is the most promising and fastest-growing civilian application of radar
technology. Vehicular radars provide the key enabling technology for the autonomous …

A literature review of performance metrics of automated driving systems for on-road vehicles

MN Sharath, B Mehran - Frontiers in Future Transportation, 2021 - frontiersin.org
The article presents a review of recent literature on the performance metrics of Automated
Driving Systems (ADS). More specifically, performance indicators of environment perception …

Comparative analysis of radar and lidar technologies for automotive applications

I Bilik - IEEE Intelligent Transportation Systems Magazine, 2022 - ieeexplore.ieee.org
Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

Advances in automotive radar: A framework on computationally efficient high-resolution frequency estimation

F Engels, P Heidenreich, AM Zoubir… - IEEE Signal …, 2017 - ieeexplore.ieee.org
Radar technology is used for many applications of advanced driver assistance systems
(ADASs) and is considered as one of the key technologies for highly automated driving …

Multipath propagation analysis and ghost target removal for FMCW automotive radars

C Liu, S Liu, C Zhang, Y Huang… - IET International Radar …, 2020 - ieeexplore.ieee.org
Multipath propagation induced by large number of reflec-tions from complex environments
has been a long-standing challenge that affects automotive radar target detection. This …

Motion sensing using radar: Gesture interaction and beyond

C Gu, J Wang, J Lien - IEEE Microwave Magazine, 2019 - ieeexplore.ieee.org
Since the debut of iOS and Android smartphones 10 years ago, the world has seen a mobile
era wherein our phones have become a mobile computing platform deeply integrated into …

Automotive multi-mode cascaded radar data processing embedded system

I Bilik, S Villeval, D Brodeski, H Ringel… - 2018 IEEE Radar …, 2018 - ieeexplore.ieee.org
Radars play a major role in providing sensing capabilities for active safety automotive
applications. Multi-transmitter and multi-receiver radar systems are becoming popular in …

A Bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

A Dubey, A Santra, J Fuchs, M Lübke, R Weigel… - IEEE …, 2021 - ieeexplore.ieee.org
With the recent advancements in radar systems, radar sensors offer a promising and
effective perception of the surrounding. This includes target detection, classification and …

Automotive radar multipath propagation in uncertain environments

A Kamann, P Held, F Perras, P Zaumseil… - 2018 21st …, 2018 - ieeexplore.ieee.org
Future use of high-resolution near range radar sensors for vehicle environment perception is
facing challenges in terms of detection and correct assignment of multipath reflections (false …