Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Arrigoni, Stefano"'
We propose a tactical homotopy-aware decision-making framework for game-theoretic motion planning in urban environments. We model urban driving as a generalized Nash equilibrium problem and employ a mixed-integer approach to tame the combinatorial as
Externí odkaz:
http://arxiv.org/abs/2406.13656
Publikováno v:
16th International Symposium on Advanced Vehicle Control. AVEC 2024. Lecture Notes in Mechanical Engineering. Springer
Intelligent Transportation Systems (ITS) are pushing an increasing interest and development when dealing with eco-driving systems. In this framework, this paper presents a method to define speed profiles specifically designed for Green Light Optimal
Externí odkaz:
http://arxiv.org/abs/2405.20261
This study focuses on the critical aspect of robust state estimation for the safe navigation of an Autonomous Vehicle (AV). Existing literature primarily employs two prevalent techniques for state estimation, namely filtering-based and graph-based ap
Externí odkaz:
http://arxiv.org/abs/2308.04847
Agricultural robots have the potential to increase production yields and reduce costs by performing repetitive and time-consuming tasks. However, for robots to be effective, they must be able to navigate autonomously in fields or orchards without hum
Externí odkaz:
http://arxiv.org/abs/2307.03080
Autor:
Khayyat, Michael, Gabriele, Alberto, Mancini, Francesca, Arrigoni, Stefano, Braghin, Francesco
The establishment of fast and reliable communication technologies, such as 5G, is enabling the evolution of a new generation of connected ADAS. This work aims to develop a traffic light advisory system, Multiple Traffic Light Advisor (MTLA), to impro
Externí odkaz:
http://arxiv.org/abs/2209.05783
Autor:
Dahal, Pragyan, Mentasti, Simone, Arrigoni, Stefano, Braghin, Francesco, Matteucci, Matteo, Cheli, Federico
In literature, Extended Object Tracking (EOT) algorithms developed for autonomous driving predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle Reference Frame. However, in many scenarios, state representation in ro
Externí odkaz:
http://arxiv.org/abs/2202.03785
It is estimated that 90% of crashes occur due to human error, mainly induced by poor judgement, distraction or lack of situation awareness. The development of systems that aim to increase road safety and to improve driving comfort is the key challeng
Externí odkaz:
http://arxiv.org/abs/2201.04052
Bio-inspired walking hexapod robots are a relatively young branch in robotics in both state of the art and applications. Despite their high degree of flexibility and adaptability derived by their redundant design, the research field that compliments
Externí odkaz:
http://arxiv.org/abs/2112.10206
One of the main components of an autonomous vehicle is the obstacle detection pipeline. Most prototypes, both from research and industry, rely on lidars for this task. Pointcloud information from lidar is usually combined with data from cameras and r
Externí odkaz:
http://arxiv.org/abs/2109.07288
Self-driving technology is expected to revolutionize different sectors and is seen as the natural evolution of road vehicles. In the last years, real-world validation of designed and virtually tested solutions is growing in importance since simulated
Externí odkaz:
http://arxiv.org/abs/2106.09307