10 citations · 19 across the 5 of their papers we have counts for
5 papers
Valeo Near-Field: a novel dataset for pedestrian intent detection
Antonyo Musabini, Rachid Benmokhtar, Jagdish Bhanushali +3
This paper presents a novel dataset aimed at detecting pedestrians' intentions as they approach an ego-vehicle. The dataset comprises synchronized multi-modal data, including fishe…
Enhanced Parking Perception by Multi-Task Fisheye Cross-view Transformers
Antonyo Musabini, Ivan Novikov, Sana Soula +6
Current parking area perception algorithms primarily focus on detecting vacant slots within a limited range, relying on error-prone homographic projection for both labeling and inf…
Holistic Parking Slot Detection with Polygon-Shaped Representations
Lihao Wang, Antonyo Musabini, Christel Leonet +6
Current parking slot detection in advanced driver-assistance systems (ADAS) primarily relies on ultrasonic sensors. This method has several limitations such as the need to scan the…
Park4U Mate: Context-Aware Digital Assistant for Personalized Autonomous Parking
Antonyo Musabini, Evin Bozbayir, Hervé Marcasuzaa +1
People park their vehicle depending on interior and exterior contexts. They do it naturally, even unconsciously. For instance, with a baby seat on the rear, the driver might leave…
Heatmap-Based Method for Estimating Drivers' Cognitive Distraction
Antonyo Musabini, Mounsif Chetitah
In order to increase road safety, among the visual and manual distractions, modern intelligent vehicles need also to detect cognitive distracted driving (i.e., the drivers mind wan…