Papers by Dominique Gruyer
In this paper, the problem of tracking desired longitudinal and lateral motions for a vehicle is ... more In this paper, the problem of tracking desired longitudinal and lateral motions for a vehicle is addressed. Let us point out that a "good" modeling is often quite difficult or even impossible to obtain. It is due for example to parametric uncertainties, for the vehicle mass, inertia or for the interaction forces between the wheels and the road pavement. To overcome this type of difficulties, we consider a model-free control approach leading to "intelligent" controllers. The longitudinal and the lateral motions, on one hand, and the driving/braking torques and the steering wheel angle, on the other hand, are respectively the output and the input variables. An important part of this work is dedicated to present simulation results with actual data. Actual data, used in Matlab as reference trajectories, have been previously recorded with an instrumented Peugeot 406 experimental car. The simulation results show the efficiency of our approach. Some comparisons with a n...
2017 IEEE Intelligent Vehicles Symposium (IV), 2017
In Autonomous driving applications, the LIDAR is becoming one of the key sensors for the percepti... more In Autonomous driving applications, the LIDAR is becoming one of the key sensors for the perception of the environment. Indeed its work principle which is based on distance ranging using a laser beam scanning the environment allows highly accurate measurements. Among sensors commonly used in autonomous driving applications, which are cameras, RADARs and LIDARs, the LIDAR is the most suited to estimate the shape of objects. However, for the moment, LIDARs dedicated to pure automotive application have only up to four measurement layers (4 laser beams scanning the environment at different height). Hence objects detection algorithm have to rely on very few layers to detected and classify the type of objects perceived on the road scene, that makes them specific. In this paper we will present an Detection and Tracking of Moving Objects (DATMO) algorithm featuring an objecttype classification based on the belief theory. This algorithm is specific to automotive application therefore, the classification of perceived vehicles is between bike, car and truck. At the end of this paper we will present an application of this algorithm in real-world context.
2017 IEEE Intelligent Vehicles Symposium (IV), 2017
This paper presents a modified potential field method for robot navigation. The approach overcome... more This paper presents a modified potential field method for robot navigation. The approach overcomes the wellknown artificial potential field (APF) method issue, which is due to local minima that induce the standard APF method to trap in. Thus, the standard APF method is no longer useful in such case. The advantage of the new proposed method, as opposed to those that resort to the global optimization methods, is the low computing time that lines up with the standard A-Star (A*) method. The strategy consists of looking for a practical path in the potential field-according to the potential gradient descent algorithm (PGDA)-and adding a repulsive potential to the current state, in case of blocking configuration, a local minimum. When the PGDA reaches the global minimum, a new potential field will be constructed with only one minimum that matches the final destination of the robot, the global minimum. Finally, to determine the achievable trajectory, a second iteration is performed by the PGDA.
IEEE Transactions on Intelligent Transportation Systems, 2019
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
IEEE Transactions on Intelligent Transportation Systems, 2016
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014
Cooperative approaches are becoming of great interest in automotive research. One of the most imp... more Cooperative approaches are becoming of great interest in automotive research. One of the most important ITS applications is cooperative localization. In this paper, the concept of a dynamic base station DGPS (DDGPS) and its application in the vehicular cooperative localization is introduced and discussed. The DDGPS is a decentralized cooperative method which aims to improve the GPS positioning by estimating and compensating the common error in GPS pseudorange measurements. It can be seen as an extension of DGPS where the base stations are not necessarily static with an exact known position. In the DDGPS method, the pseudorange corrections are estimated, based on the receiver's belief on its positioning and its uncertainty, and then broadcasted to other GPS receivers. A new method for fusing all the received corrections from different sources is proposed and the data dependency problem is also discussed.
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014
Depuis une dizaine d'années, les systèmes de cartographie mobile terrestre se développent pou... more Depuis une dizaine d'années, les systèmes de cartographie mobile terrestre se développent pour réaliser la numérisation des environnements urbains. Ces systèmes dynamiques nous permettent d'économiser du temps lors de l'acquisition des données par rapport aux systèmes fixes. Pour que les données acquises soient utiles, on souhaite conserver la même qualité qu'avec les systèmes fixes. Pour cela, il est nécessaire de concevoir le système de perception en résolvant les problématiques de complétude, d'homogénéité, etc. Nous présentons dans cet article une démarche de conception et un simulateur permettant gagner du temps et d'économiser le coût de conception et de réalisation de prototypes matériels. Nous montrons une illustration de cette démarche sur des exemples de simulation. Mots clés: simulation, systèmes de cartographie mobile, scanner laser Abstract Over the past decade, terrestrial mobile mapping systems have been developing for the digitizing of urban e...
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
ABSTRACT Over the past decade, a lot of researches have been done on the development of advanced ... more ABSTRACT Over the past decade, a lot of researches have been done on the development of advanced driver assistance systems (ADAS). Most of these ADAS are now active and need to be tested and evaluated before large deployment. In these ADAS, the prototyping and the implementation of the control stages are risky stages and not so easy to carry out. Indeed, the prototyping and the test of such reactive algorithms need heavy hardware and software supports (dedicated vehicle, actuators, hardware architecture, software architecture, sensors). To achieve such active devices, additional developments and implementation of numerous expensive embedded devices are required. Therefore, in order to reduce both time and risk, in early design stage, it becomes necessary to have a very realistic simulation environment dedicated to the development and to the evaluation of these ADAS. For such virtual platform, it is mandatory to provide physics-driven road environments, virtual embedded sensors, and physics-based vehicle models. In this publication, we present a dedicated couple of platforms with their efficient interconnection for the prototyping of such ADAS. Initially, the SiVIC simulation platform has been developed to generate the virtual world (environments, sensors, actuators, vehicles). In order to improve the real time prototyping capabilities of SiVIC, an efficient interconnection of this first platform has been done with RTMaps platform. This second one is mainly dedicated to the multi-sensors data processing (data management, fusion, flow recording and replaying). In this paper we will show the interest of such bi-directionnal interconnected platforms to prototype complex and real time embedded ADAS. This interconnection can be done not only on one computer but also on a distributed and distant computers architecture. The relevance of this approach will be illustrated with an automatic parking application.
2013 International Conference on Connected Vehicles and Expo (ICCVE), 2013
International Journal of Advanced Computer Science and Applications, 2013
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
ABSTRACT This paper presents a new radar sensor modeling for Advanced Driver Assistance Systems (... more ABSTRACT This paper presents a new radar sensor modeling for Advanced Driver Assistance Systems (ADAS) prototyping. This virtual model is embedded in the SiVIC platform dedicated to the simulation of vehicles, infrastructure and sensors. Lots of simulators already exist addressing radar simulation, but none of them is designed to address in the same time the following objectives: real-time computation, highly sampled signal generation, multiple radar technologies, and, hardware and software platform integration for ADAS prototyping. In this paper, we proposed such a solution solving this issue and a focus will be done on the radar sensor modeling, from material modeling to implemented technology and associated signal processing. First results of this radar sensor modeling is carried out in motorway scenario.
IEEE Intelligent Transportation Systems Magazine, 2012
One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors and r... more One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors and reduces the contrasts in the scene with respect to their distances from the driver. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement in road images. The visibility enhancement algorithm proposed in [1] is not optimized for road images. In this paper, we reformulate the problem as the inference of the local atmospheric veil from constraints. The algorithm in [1] thus becomes a particular case. From this new derivation, we propose to better handle road images by introducing an extra constraint taking into account that a large part of the image can be assumed to be a planar road. The advantages of the proposed local algorithm are the speed, the possibility to handle both color and gray-level images, and the small number of parameters. A new scheme is proposed for rating visibility enhancement algorithms based on the addition of several types of generated fog on synthetic and camera images. A comparative study and quantitative evaluation with other state-of-the-art algorithms is thus proposed. This evaluation demonstrates that the new algorithm produces better results with homogeneous fog and that it is able to deal better with the presence of heterogeneous fog. Finally, we also propose a model allowing to evaluate the potential safety benefit of an ADAS based on the display of defogged images.
ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, Volume 3, 2010
This paper presents the design and the simulation test of a Takagi-Sugeno (TS) fuzzy output feedb... more This paper presents the design and the simulation test of a Takagi-Sugeno (TS) fuzzy output feedback for yaw motion control. An integrated steering and differential braking controller based on invariant sets, quadratic boundedness theory and a common Lyapunov function has been developed. The TS fuzzy model is able to handle elegantly the nonlinear behavior the vehicle lateral dynamics. The computation of the control law has been achieved using Linear and Bilinear Matrix Inequalities (LMI-BMI) methods. Simulation test shows the controlled car is able to achieve the ISO3888-2 transient maneuver. Some design parameters can be adjusted to handle the tradeoff between safety constraints and comfort specifications.
Procedia - Social and Behavioral Sciences, 2012
2010 IEEE Intelligent Vehicles Symposium, 2010
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012
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Papers by Dominique Gruyer