Search Results for author:
Found 7 papers, 2 papers with code
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds
The Indy Autonomous Challenge (IAC) brought together for the first time in history nine autonomous racing teams competing at unprecedented speed and in head-to-head scenario, using independently developed software on open-wheel racecars.
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation
We analyze how the presence of the markers affects the pose estimation accuracy, and how this bias may be mitigated through data augmentation and other methods.
Model-Based Underwater 6D Pose Estimation from RGB
All objects and scenes are made available in an open-source dataset that includes annotations for object detection and pose estimation.
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds
This paper presents a multi-layer motion planning and control architecture for autonomous racing, capable of avoiding static obstacles, performing active overtakes, and reaching velocities above 75 $m/s$.
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers
Combining Natural Language with Vision represents a unique and interesting challenge in the domain of Artificial Intelligence.
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP) do not give complete information about their suitability of use in safety critical tasks, like obstacle detection for collision avoidance in Autonomous Vehicles (AV).
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning
This approach can be of particular interest when the space of the characteristics of the network is notably large or when its full training is highly time-consuming.
