Automotive

In the automotive domain, the following use cases are defined:

  • Highway pilot

Highly-automated driving on single- or multi-lane highway networks is currently one of the most attractive functions for passenger cars and commerical vehicles. It allows the driver to turn attention away from the driving task for a longer period. The highly-automated functions handles all of the driving-related tasks like overtaking slower vehicles, driving in tunnels or through toll booths. In addition the system initiates the process of returning responsibility back to the driver. In emergency situations the functions execute defined actions. The use case will provide all relevant scenarios and boundary conditions for verification and validation of all related highly-automated functions. Main aspects are early functional and non-functional verification as well as new approaches for early validation of safety and security aspects under all possible driving conditions.The result of this task will be a comprehensive description of the relevant road, traffic and climatic conditions for automated driving on a highway network, the relevant functions of the automated vehicle systems and the requirements for validation. The functional requirements and implications for functions of the system will be specified.

  • Intersection crossing

The crossing of a road intersection is difficult and might lead to hazardous situations. Decisions are needed with different trajectories generated according to the situations encountered. For an autonomous vehicle, this represents a formidable task. A road intersection crossing manoeuvre will be implemented; the solutions will address initially nominal conditions. A model of the implementation will be produced and implemented in the simulation platform. Different disturbances on the system are emulated, in particular those representing hazardous situations, in order to evaluate the response of the vehicle intelligence. The main interest is in generating the scenarios and the assessment criteria that will provide quantified results on the capabilities of the vehicle decision making component. The use case addresses the trajectory calculation, human-machine-interaction (in this case the driver HMI) and a traffic impact analysis. It does not address the issues of lane keeping or positioning. It will use implementations that support the demonstration of the automated left-turning use case.

  • Context-Aware In-Car Reasoning System

We consider the connected car scenario and aim to push the limits of off-line testing as far as possible within this scenario. In our use case, a context-aware in-car reasoning system supports passengers in their travel decisions. For instance, in the context of a motorway ride, assume that a large traffic accident occurs on the planned route. The reasoning system would detect that the accident will affect the arrival time at the destination, alert the driver and provide, upon request, alternative routes specifying the consequences in terms of cost, average arrival time and uncertainty in arrival time. It would also provide assistance to the driver in choosing among the proposed alternatives by asking information about preferences (for instance preferring to take a toll road to ensure a high probability of arriving at a given time). To this end the in-car reasoning system must have a contextual understanding of the vehicle’s surroundings and be able to interact in a meaningful manner with the driver. This interaction can involve advice and discussion of route options up to context aware alerts issued to the driver.

  • Traffic Jam Pilot with V2x Communication

The “Traffic Jam Pilot” is intended to allow vehicles to safely drive their passengers through congestion scenarios, in other words, the vehicle will guide itself during predictable, low-speed conditions, using in-vehicle sub-systems such as “Stop-and-Go” (which enables the vehicle to “follow” the vehicle ahead and brake whenever needed), “Lane Assistant” (to keep the vehicle within the boundaries of the lane) and V2V and V2I communication to enhance the vehicles situational awareness about environmental conditions related to the road infrastructure and surrounding vehicles. The idea behind the “Traffic Jam Pilot” system is to allow vehicles in high-density traffic to travel safely at speeds up to 50-kph without driver input by using a mixture of adaptive cruise control and lane-keep assist systems. In the proposed approach, this system will be enhanced with information coming through V2x communications, eventually allowing the creation of vehicle platoons.

  • Valet Parking

Valet parking means automated parking in a parking area. Potential scenario: when you approach a shopping mall, you receive an offer by the valet parking system to safely park your car. If you accept, you can start your shopping while the vehicle parks itself. A remote Parking Area Management (PAM) locates the free parking slots, and defines the optimal path for the vehicle. This path is tracked by vehicle, which also sense its’ environment. The path is dynamically adapted if obstacles are detected. All this runs under a supervisory control, which observes the scene and can interrupt the path following, for example by requiring an emergency brake.