Valeo

About: Valeo is a company organization based out in Paris, France. It is known for research contribution in the topics: Heat exchanger & Clutch. The organization has 8904 authors who have published 14808 publications receiving 83614 citations. The organization is also known as: Société anonyme française du Ferodo.

Cooling device for electric vehicle with fuel cell

Abstract: A cooling device for a vehicle with an electric motor powered by a fuel cell has a first cooling loop suitable for cooling the fuel cell and traversed by a first cooling fluid, a second cooling loop suitable for cooling at least the electric motor and traversed by a second cooling fluid, and a heat exchanger interposed between the first cooling loop and the second cooling loop.

Integrated starter generator

Abstract: Various types of electric machines can be considered for an application to integrated starter generator (ISG). Permanent magnet (PM) synchronous machines present interesting performances; nevertheless, it remains difficult to reach a significant constant power zone under good efficiency conditions and power factor. The loss of control of electronics at high-speed operations may lead to high-terminal voltages, which can become dangerous for the whole vehicle. In this study, we examine the main advantages and drawbacks of the induction machine, reluctant, and PM machine. Then we present more precisely the wound rotor synchronous machine (WRSM) performances for ISG applications. All these machines must follow strict rules and specifications (low length, high torque, speed, and efficiency). Different kinds of machines have already been evaluated.

Method for operating a driver assistance device for autonomously driving a motor vehicle and motor vehicle

Abstract: The invention relates to a method for operating a driver assistance device of a motor vehicle (1), wherein the driver assistance device is switched between an automatic drive mode, in which control signals are output at least to a steering device of the motor vehicle (1) by means of the driver assistance device and hereby a steering angle of the motor vehicle (1) is autonomously controlled by the driver assistance device, and a manual drive mode, in which the steering angle is manually controlled by a driver by operating a steering wheel (7) of the motor vehicle (1), wherein with the switching the driver assistance device at least in one switching direction from one of the drive modes into the other drive mode, a moving light is generated along a predetermined lighting path (20) in a movement direction (21, 22) associated with the switching direction by means of a lighting device (4).

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving

Abstract: LiDAR has become a standard sensor for autonomous driving applications as they provide highly precise 3D point clouds. LiDAR is also robust for low-light scenarios at night-time or due to shadows where the performance of cameras is degraded. LiDAR perception is gradually becoming mature for algorithms including object detection and SLAM. However, semantic segmentation algorithm remains to be relatively less explored. Motivated by the fact that semantic segmentation is a mature algorithm on image data, we explore sensor fusion based 3D segmentation. Our main contribution is to convert the RGB image to a polar-grid mapping representation used for LiDAR and design early and mid-level fusion architectures. Additionally, we design a hybrid fusion architecture that combines both fusion algorithms. We evaluate our algorithm on KITTI dataset which provides segmentation annotation for cars, pedestrians and cyclists. We evaluate two state-of-the-art architectures namely SqueezeSeg and PointSeg and improve the mIoU score by 10% in both cases relative to the LiDAR only baseline.