5 citations · 9 across the 5 of their papers we have counts for
8 papers
Vector Map Quality Metrics for Contextual Autonomous Driving Systems
Marie-Ngoïe Badibanga Kalenda, Philippe Bonnifait, Marie-Anne Mittet
Ensuring safety in autonomous driving requires continuous map maintenance supported by reliable quality indicators. In this context, it is crucial to identify when and where map up…
Assessing the Impact of Fleet Size on Crowdsourced Mapping Using a Dissimilarity Measure
Marie-Ngoïe Badibanga Kalenda, Philippe Bonnifait, Marie-Anne Mittet
Accurate digital maps are essential for Advanced Driver Assistance Systems (ADAS) or Autonomous Driving (AD), providing critical information such as road geometry, traffic signs an…
Automatic Image Annotation for Mapped Features Detection
Maxime Noizet, Philippe Xu, Philippe Bonnifait
Detecting road features is a key enabler for autonomous driving and localization. For instance, a reliable detection of poles which are widespread in road environments can improve…
Pole-based Vehicle Localization with Vector Maps: A Camera-LiDAR Comparative Study
Maxime Noizet, Philippe Xu, Philippe Bonnifait
For autonomous navigation, accurate localization with respect to a map is needed. In urban environments, infrastructure such as buildings or bridges cause major difficulties to Glo…
Collaborative Grid Mapping for Moving Object Tracking Evaluation
Rémy Huet, Antoine Lima, Philippe Xu +2
Perception of other road users is a crucial task for intelligent vehicles. Perception systems can use on-board sensors only or be in cooperation with other vehicles or with roadsid…
Lane level context and hidden space characterization for autonomous driving
Corentin Sanchez, Philippe Xu, Alexandre Armand +1
For an autonomous vehicle, situation understand-ing is a key capability towards safe and comfortable decision-making and navigation. Information is in general provided bymultiple s…