Walking pedestrian recognition
IEEE Transactions on Intelligent Transportation Systems
Fast obstacle detection for urban traffic situations
IEEE Transactions on Intelligent Transportation Systems
Pedestrian Protection Systems: Issues, Survey, and Challenges
IEEE Transactions on Intelligent Transportation Systems
Semantic fusion of laser and vision in pedestrian detection
Pattern Recognition
Expert Systems with Applications: An International Journal
Towards Formal Verification of Freeway Traffic Control
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
Detecting pedestrians on a Movement Feature Space
Pattern Recognition
Multi-modal object detection and localization for high integrity driving assistance
Machine Vision and Applications
Hi-index | 0.00 |
This paper presents an application of a pedestrian-detection system aimed at localizing potentially dangerous situations under specific urban scenarios. The approach used in this paper differs from those implemented in traditional pedestrian-detection systems, which are designed to localize all pedestrians in the area in front of the vehicle. Conversely, this approach searches for pedestrians in critical areas only. The environment is reconstructed with a standard laser scanner, whereas the following check for the presence of pedestrians is performed due to the fusion with a vision system. The great advantages of such an approach are that pedestrian recognition is performed on limited image areas, therefore boosting its timewise performance, and no assessment on the danger level is finally required before providing the result to either the driver or an onboard computer for automatic maneuvers. A further advantage is the drastic reduction of false alarms, making this system robust enough to control nonreversible safety systems.