Results 31 to 40 of about 313,083 (294)
Development of a Partial Proportional Odds Model for Pedestrian Injury Severity at Intersections
Pedestrian injury in crashes at intersections often results from complex interaction among various factors. The factor identification is a critical task for understanding the causes and improving the pedestrian safety.
Xi Lu +3 more
doaj +1 more source
ANALYSIS OF AVERAGE DELAYS EXPERIENCED BY ROAD USERS AT NON-SIGNALISED CROSSWALKS [PDF]
Problem. The problem of making decisions concerning the arrangement of non-signalised cross-walks is mainly connected with the inadequate justification of boundary conditions for their usage. The standards existing in our country and existing models that
Horbachov P. +2 more
doaj +1 more source
Evaluation of driver’s judgment assistance system at signalized intersection using incident database
This study evaluates the effectiveness of a driver assistance system at signalized intersections by using an incident database. The research target is in the incident scenes of a vehicle and crossing pedestrians in which the vehicle proceeds straight to ...
Koki KAZAMA +2 more
doaj +1 more source
Yayalaştırılmış Bölge Kafeler Caddesi'nin (Isparta) Peyzaj Mimarlığı Açısından İrdelenmesi
Bu araştırmada, Isparta kent merkezinde yer alan Kafeler Caddesi'nin yayalaştırılmasının peyzaj mimarlığı açısından irdelenmesi amaçlanmıştır. Araştırmanın amacı, yayalaştırılmış Kafeler Caddesinin çevresine olan etkileri, tercih edilme nedenleri ...
Ayça Yıldırım, Volkan Küçük
doaj +1 more source
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network
Pedestrian intention recognition is very important to develop robust and safe autonomous driving (AD) and advanced driver assistance systems (ADAS) functionalities for urban driving.
Andreasson, Kajsa +15 more
core +1 more source
BACKGROUND: Road traffic injuries (RTIs) are the second leading cause of mortality in Saudi Arabia. The high rate of RTIs puts a strain on rehabilitation services.
Suliman Alghnam +7 more
doaj +1 more source
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection [PDF]
Pedestrian detection is an important component for safety of autonomous vehicles, as well as for traffic and street surveillance. There are extensive benchmarks on this topic and it has been shown to be a challenging problem when applied on real use-case
Ekenel, Hazım Kemal +2 more
core +2 more sources
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection
Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be
Amores, Jaume +4 more
core +1 more source
10 pages Proceedings of the conference "Traffic and Granular Flow '13" held in Julich, Germany (25 - 27 September 2013)
openaire +2 more sources
Taking a Look at Small-Scale Pedestrians and Occluded Pedestrians [PDF]
Small-scale pedestrian detection and occluded pedestrian detection are two challenging tasks. However, most state-of-the-art methods merely handle one single task each time, thus giving rise to relatively poor performance when the two tasks, in practice, are required simultaneously.
Jiale Cao +4 more
openaire +2 more sources

