Dominique Gruyer

ORCID: 0000-0003-4453-5093
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About
Contact & Profiles
Research Areas
  • Autonomous Vehicle Technology and Safety
  • Vehicular Ad Hoc Networks (VANETs)
  • Target Tracking and Data Fusion in Sensor Networks
  • Robotics and Sensor-Based Localization
  • Traffic control and management
  • Human-Automation Interaction and Safety
  • Robotic Path Planning Algorithms
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods
  • Traffic and Road Safety
  • Indoor and Outdoor Localization Technologies
  • Transportation Planning and Optimization
  • Mobile Ad Hoc Networks
  • Vehicle Dynamics and Control Systems
  • Real-time simulation and control systems
  • Traffic Prediction and Management Techniques
  • Opportunistic and Delay-Tolerant Networks
  • Vehicle emissions and performance
  • Data Management and Algorithms
  • Inertial Sensor and Navigation
  • Transportation and Mobility Innovations
  • Advanced Neural Network Applications
  • Fault Detection and Control Systems
  • Remote Sensing and LiDAR Applications
  • Urban Transport and Accessibility

Université Gustave Eiffel
2017-2025

Maison de la Simulation
2020-2021

Groupe d’Étude de la Matière Condensée
2004-2018

Institute of Science and Technology
2015

Université de Sherbrooke
2015

Université de Technologie de Compiègne
2000-2013

Centre National de la Recherche Scientifique
1999-2013

Ian's Friends Foundation
2011

Laboratoire Interactions, Dynamiques et Lasers
2008

One source of accidents when driving a vehicle is the presence fog. Fog fades colors and reduces contrasts in scene with respect to their distances from driver. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement road images. The algorithm proposed [1] not optimized In this paper, we reformulate problem as inference local atmospheric veil constraints. thus becomes particular case. From new derivation,...

10.1109/mits.2012.2189969 article EN IEEE Intelligent Transportation Systems Magazine 2012-01-01

This paper presents the design and first test on a simulator of vehicle trajectory-planning algorithm that adapts to traffic lane-structured infrastructure such as highways. The proposed is designed run fail-safe embedded environment with low computational power, an engine control unit, be implementable in commercial vehicles near future. target platform has clock frequency less than 150 MHz, kB RAM memory, 3-MB program memory. trajectory planning performed by two-step algorithm. step...

10.1109/tits.2010.2046037 article EN IEEE Transactions on Intelligent Transportation Systems 2010-05-21

One source of accidents when driving a vehicle is the presence homogeneous and heterogeneous fog. Fog fades colors reduces contrast observed objects with respect to their distances. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement road images. The algorithm proposed in not dedicated images thus it leads limited quality results on this kind. In paper, we interpret as inference local atmospheric veil...

10.1109/ivs.2010.5548128 article EN IEEE Intelligent Vehicles Symposium 2010-06-01

This paper presents a modified potential field method for mobile robots and intelligent vehicles local navigation. The approach overcomes the well-known artificial (APF) issue, which is due to minima that induce standard APF trap in. Thus, no longer useful in such cases. advantage of new proposed method, as opposed those resort global optimization methods, low computing time lines up with standardA-Star (A∗) method. strategy consists looking practical path field-according gradient descent...

10.1109/ivs.2017.7995717 article EN 2022 IEEE Intelligent Vehicles Symposium (IV) 2017-06-01

This paper discusses driving system design based on traffic rules. allows fully automated in an environment with human drivers, without necessarily changing equipment other vehicles or infrastructure. It also facilitates cooperation between the and host driver during highly driving. The concept, referred to as legal safety, is illustrated for highways distance keeping, intelligent speed adaptation, lane-changing functionalities. Requirements by safety perception control components are...

10.1109/tits.2012.2225104 article EN IEEE Transactions on Intelligent Transportation Systems 2012-11-26

Accurate and reliable vehicle localization is a key component of numerous automotive Intelligent Transportation System (ITS) applications, including active safety systems, real time estimation traffic conditions, high occupancy tolling. Various critical applications in particular, such as collision avoidance or mitigation, lane change management emergency braking assistance rely principally on the accurate knowledge vehicles? positioning within given vicinity.

10.1109/mits.2015.2408171 article EN IEEE Intelligent Transportation Systems Magazine 2015-01-01

In this paper, a novel approach for improving vehicular positioning is presented. This method based on the cooperation of vehicles by communicating their measured information about position. consists two steps. first step, we introduce our cooperative map matching method. uses V2V communication in ad hoc network (VANET) to exchange global system (GPS) between vehicles. Having precise road map, can apply constraints other own process and acquire significant improvement positioning. After...

10.1109/tits.2015.2465141 article EN IEEE Transactions on Intelligent Transportation Systems 2015-08-31

Truck platooning is a promising technology in freight transport. To commercialize truck as early possible, its evaluation urgent need. For evaluation, simulation platforms play crucial role. However, there has not been platform to meet the needs of various stakeholders, including Original Equipment Manufacturers (OEMs), Freight Operators (FOs) and Transportation Management Administrations (TMAs). fill research gap, this paper proposes next-generation platform. It integrates traffic...

10.1109/tits.2024.3388161 article EN IEEE Transactions on Intelligent Transportation Systems 2024-04-24

In this paper, the problem of tracking desired longitudinal and lateral motions for a vehicle is addressed here. Let us point out that "good" modeling often quite difficult or even impossible to obtain. It due example parametric uncertainties, mass, inertia interaction forces between wheels road pavement. To overcome type difficulties, we consider model-free control approach leading "intelligent" controllers. The motions, on one hand, driving/braking torques steering wheel angle, other are...

10.1109/tits.2017.2699283 article EN IEEE Transactions on Intelligent Transportation Systems 2017-06-13

Accurate localization of a vehicle is challenging task as GPS available on the market are not designed for lane-level accuracy application. Although dead reckoning helps, cumulative errors from inertial sensors result in integration drift. This paper presents new method based data fusion. An accurate digital map lane marking used powerful additional sensor. Road markings detected by processing two lateral cameras to estimate their distance vehicle. Coupled with EKF filter it improves...

10.1109/ivs.2014.6856528 preprint EN 2014-06-01

Advanced driving-assistance systems (ADAS) have recently received an increasing attention from the car industry. ADAS development represents a considerable effort to obtain efficient and reliable systems. Driving several million kilometers is necessary validate system. Thus, there are strong needs ease validation processes. In this context, computer simulation techniques candidate solution problem since running digital scenarios saves time, money human resources. Up until now, simulators...

10.1016/j.sbspro.2012.06.1096 article EN Procedia - Social and Behavioral Sciences 2012-01-01

IEEE 802.11p is the new standard for inter-vehicular communications (IVC) using 5.9 GHz frequency band; it planned to be widely deployed enable cooperative systems. uses and performance have been studied theoretically in simulations over past years. Unfortunately, many of these results not confirmed by on-tracks experimentation. In this paper, we describe field trials technology with our test vehicles. Metrics such as maximum range, latency frame loss are examined.

10.1109/ivs.2012.6232268 article EN IEEE Intelligent Vehicles Symposium 2012-06-01

Fast 3D reconstruction with semantic information on road scenarios involves issues of geometry and appearance in the field computer vision. An important idea is that fusion would boost performance each other. Stereo cameras RGB-D sensors are widely used to realise trajectory tracking, but they need heavy computation cost storage a dense way. Moreover, lack flexibility seamless switch between various scaled environments, i.e., indoor outdoor scenes. Besides, autonomous vehicle benefit from...

10.1109/itsc.2017.8317942 article EN 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) 2017-10-01
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