voir basilic : http://emotion.inrialpes.fr/bibemotion/2005/TPL05/ optkey: Vehicle Detection, Bayesian Programming address: Port Douglas AustraliaIn this paper, a method of obtaining vehicle hypothesis based on laser scan data only is proposed. This is implemented on the robotic vehicle, CyCab, for navigation and mapping of the static car park environment. Laser scanner data is used to obtain hypothesis on position and orientation of vehicles with Bayesian Programming. Using the hypothesized vehicle poses as landmarks, CyCab performs Simultaneous Localization And Mapping (SLAM). A final map consisting of the vehicle positions in the car park is obtained
<p>This paper addresses the problem of reliably detecting parking spots in semi-filled parking lots ...
Simultaneous localization and mapping (SLAM) is a dual process responsible for the ability of a robo...
Abstract — In this paper, we propose a new approach for localization and tracking of a vehicle in a ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2005/TPL05/ optkey: Vehicle Detection, Bayesia...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2005/TPL05a/ optkey: SLAM, Vehicle Detection, ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/Tay04/ type: Mémoire de Diplôme d'Études ...
Autonomous cars are one of the greatest technological advancements of this decade and a giant leap i...
In recent years, there has been a strong demand for self-driving cars. For safe navigation, self-dri...
Perceiving or understanding the environment surrounding of a vehicle is a very important step in bui...
Autonomous parking valet systems improve users’ comfort, helping with the task of searching for a pa...
Ever since the 1980s, researchers in computer science and robotics have been working on making auton...
Automated driving can help solve the current and future problems of individualtransportation. Automa...
Car-like mobile robot navigation has been an active and challenging field both in academic research ...
This thesis is concerned with the problem of place recognition for mobile robots. How can a robot de...
Perceiving or understanding the environment surrounding of a vehicle is a very important step in bui...
<p>This paper addresses the problem of reliably detecting parking spots in semi-filled parking lots ...
Simultaneous localization and mapping (SLAM) is a dual process responsible for the ability of a robo...
Abstract — In this paper, we propose a new approach for localization and tracking of a vehicle in a ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2005/TPL05/ optkey: Vehicle Detection, Bayesia...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2005/TPL05a/ optkey: SLAM, Vehicle Detection, ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2004/Tay04/ type: Mémoire de Diplôme d'Études ...
Autonomous cars are one of the greatest technological advancements of this decade and a giant leap i...
In recent years, there has been a strong demand for self-driving cars. For safe navigation, self-dri...
Perceiving or understanding the environment surrounding of a vehicle is a very important step in bui...
Autonomous parking valet systems improve users’ comfort, helping with the task of searching for a pa...
Ever since the 1980s, researchers in computer science and robotics have been working on making auton...
Automated driving can help solve the current and future problems of individualtransportation. Automa...
Car-like mobile robot navigation has been an active and challenging field both in academic research ...
This thesis is concerned with the problem of place recognition for mobile robots. How can a robot de...
Perceiving or understanding the environment surrounding of a vehicle is a very important step in bui...
<p>This paper addresses the problem of reliably detecting parking spots in semi-filled parking lots ...
Simultaneous localization and mapping (SLAM) is a dual process responsible for the ability of a robo...
Abstract — In this paper, we propose a new approach for localization and tracking of a vehicle in a ...