LIST OF DEMONSTRATORS
Indicative areas that ShapeFuture will demonstrate its achievements are reflected on 15 technical demonstrators plus 2 impact. Those demonstrators will showcase ShapeFuture’s findings from a global & technical detail perspective and ensure the European digital sovereignty in the ECS industry.
The demonstrators are selected based on the technical challenges to be solved before the demonstration cases can be realized. A high level of synergy in the use of the ECS is key, since the operation on common hardware developed within ShapeFuture will further ease the implementation towards the versatile market needs.
Dem1.1: Online calibration of a car during the first kilometre
Online calibration refers to the process of adjusting and fine-tuning the vehicle's components and systems while it is in operation. During the first kilometer, the vehicle can collect real-time data from its sensors and systems to optimize its performance and improve accuracy. This calibration process helps to adapt the vehicle's behavior based on real-world conditions, ensuring safety and efficiency.
Dem1.2: Mobility aware asynchronous edge perception
The rationale behind this demo is to propose an innovative approach that could replace or complement the conventional processing by harnessing the potential of event-based asynchronous processing, while also integrating information from connected vehicles, incorporating occupancy maps and dynamic object tracking for a holistic mobility-aware perception system.
Dem1.3: Safety-compliant body motion controller with high-performance data fusion capabilities
The body motion controller is responsible for handling the vehicle's movements and ensuring they comply with safety regulations and driving conditions. Data fusion involves combining information from different sensors to create a more accurate and reliable representation of the vehicle's surroundings. By integrating safety compliance and high- performance data fusion, the vehicle can navigate safely and efficiently in complex environments.
Dem1.4: Autonomous & Tele-operated Machines with Enhanced Sensors and Haptics
This aspect focuses on equipping the vehicle with advanced sensors and haptic feedback systems. The enhanced sensors enable better perception of the environment, while haptics provide tactile feedback to the driver/operator, improving their situational awareness and control over the vehicle, whether it operates autonomously or is tele-operated.
Dem2.1: Compact MEMS Scanner Module
The compact MEMS (Micro-Electro-Mechanical Systems) scanner module plays a vital role in the vehicle's perception capabilities. It can be used for LiDAR or other sensing technologies, scanning the environment rapidly and providing valuable data for decision-making and obstacle detection.
Dem2.2: Radar Skin
Radar skin refers to the use of radar technology for creating a protective "skin" around the vehicle. This enables enhanced object detection and collision avoidance, especially in adverse weather conditions or low-visibility scenarios.
Dem2.3: Ultra-wideband for Secure Car Access
Ultra-wideband (UWB) technology enhances the security of car access systems, preventing unauthorized access and potential hacking attempts. UWB-based access systems offer high precision and reliability for vehicle unlocking and starting processe
Dem3.1: Autonomous Vehicle Management
Autonomous vehicle management involves coordinating various subsystems, sensors, and algorithms to ensure smooth and safe operation. It includes functionalities like mission planning, fleet management, real-time monitoring, and diagnostics.
Dem3.2: Enabling AI Integration for Connected Vehicles
Connected Highway Pilot refers to an integrated system that allows vehicles to communicate with each other and the infrastructure on highways. In safety-critical scenarios, this communication enables cooperative collision avoidance and traffic management to enhance safety.
Dem3.3: Autonomous vehicle with enhanced in-out and out-in perception
This concept focuses on equipping the vehicle with advanced perception capabilities both inside and outside the vehicle. In-Out perception refers to understanding the vehicle's interior environment, enabling better interaction with passengers. Out-In perception involves gathering data about the external environment, supporting autonomous navigation and decision-making.
Dem3.4: ODD-aware modelling and decision making
ODD-aware modelling and decision making ensures that the vehicle's autonomous systems make appropriate decisions based on their specific operational limits and conditions. This prevents the vehicle from operating in unsafe or unfamiliar environments.
Dem3.5: Virtual testing and validation of automated driving functions
The rationale behind this demo is to cater as a benchmarking point for all the project developments. This means that all the other demos can be tested on this virtual testing environment, so as to facilitate the overall project validation.
Dem4.1: Driver Situation Awareness Enhancing Image Transmission and Aggregation
This involves transmitting and aggregating images from various sources, such as cameras and sensors, to enhance the driver's situational awareness. It may also incorporate image processing techniques to provide a clearer and more comprehensive view of the surroundings.
Dem4.2: Enhanced C- V2X communication for the urban area
The rationale behind this demo is ensuring a proper and resilient communication link for enabling ADAS based on the novel ECS developed within the project.
Dem4.3: Augmented Situational Awareness in Driving
Augmented situational awareness involves enhancing the driver's perception of the environment by integrating data from various sensors and sources. In highly automated vehicles, this concept extends to both the vehicle and the operator, where the vehicle's systems provide a comprehensive view of the surroundings, potential hazards, and relevant information to the driver/operator.
Imp5.1: Analysis of stakeholders’ acceptance of ECS-enabled innovations in the automotive field
Understanding the stakeholders' (e.g., manufacturers, regulators, drivers, general public) acceptance of ECS-enabled innovations is crucial for successful implementation. Conducting surveys, focus groups, and usability studies can help gauge their perceptions and expectations, ultimately guiding the development and deployment of these innovations.
Imp5.2: Exploitation Planning, Implementation and Monitoring
This aspect involves formulating a plan for how to implement and exploit the innovations effectively. It includes defining a roadmap, identifying potential challenges, and establishing monitoring mechanisms to assess the performance and impact of the ECS-enabled innovations.
SHAPE FUTURE PROJECT
