A millimetre-wave (mmWave) radar, having synergies with the multi-beam light detection and ranging (LiDAR) and cameras, has been considered as a must-have sensor in the connected and autonomous vehicles (CAV) in the future intelligent transportation systems (ITS). Besides the traditional target detection and ranging functions, the mmWave radar is expected to perform more intelligent tasks to improve the road safety, for example recognising the targets, especially the vulnerable road users like pedestrians and cyclists. This paper describes a simulation study of the micro-Doppler signatures of the pedestrian and cyclist based on mmWave vehicle radar and investigates the recognition capabilities through both the convolutional neural networks (CNN), recurrent neural networks (RNN) and mixed convolutional and recurrent approach respectively. The result demonstrates the usability of the mmWave radar Doppler information and complementary with the video and laser data streams in the CAV auto-piloting.
|Title of host publication||2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 20 Jul 2020|
|Event||12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal|
Duration: 20 Jul 2020 → 22 Jul 2020
|Name||2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020|
|Conference||12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020|
|Period||20/07/20 → 22/07/20|
Bibliographical note© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
- automated vehicles
- micro Doppler
- object recognition
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing