Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject pedestrian detection
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 5-Dec-2025 | KDET-HPFL: A Personalized Federated Learning Framework for Multimodal Pedestrian Detection With Adaptive Feature Selection | Lan, R; Zhang, Y; Wang, Z; Liu, W; Yang, R |
| 13-Apr-2023 | Multi-scale pedestrian intent prediction using 3D joint information as spatio-temporal representation | Ahmed, S; Bazi, AA; Saha, C; Rajbhandari, S; Huda, MN |
| 6-Jun-2019 | Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey | Ahmed, S; Huda, MN; Rajbhandari, S; Saha, C; Elshaw, M; Kanarachos, S |
| 31-Oct-2021 | Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems—A Review | Galvao, LG; Abbod, M; Kalganova, T; Palade, V; Huda, MN |
| 17-Jul-2019 | Visual and thermal data for pedestrian and cyclist detection | Ahmed, S; Huda, MN; Rajbhandari, S; Saha, C; Elshaw, M; Kanarachos, S |