Abstract: Disclosed are embodiments for adjusting a vehicle stopping point. The vehicle stopping point is a point between a route of the vehicle and a second route. in some embodiments, an adjustment to the stopping point is determined based on ranking secondary routes that are adjusted based on the adjusted vehicle stopping point. Tanking of the secondary routes is based, in sonic embodiments, on a score of segment(s) included in the secondary routes. In some cases, the ranking of the segments considers safety information associated with each of the segments.

Abstract: System and techniques for passenger discomfort measurement during vehicle maneuver are described herein. A set of biomechanical measurements of a passenger in a vehicle may be obtained. A subset from the set of biomechanical measurements with members that correspond to distress in the passenger are selected and a search of vehicle actions performed that correspond to the subset of biomechanical measurements in time. Then, modification to future application of the vehicle action is made to reduce distress in passengers.

Abstract: Disclosed embodiments provide a mobility as a service (MaaS) platform that orchestrates a variety of services that require a variety of different vehicle configurations. To ensure a cost effective vehicle fleet, the disclosed MaaS platform dynamically reconfigures vehicles as needed to perform services that are in demand. To accomplish this, some embodiments provide an API that allows third party service providers to register with the MaaS platform. The registration indicates capabilities of the third party service providers, and service center locations. The API also allows the MaaS platform to obtain status information on the third party service providers to, for example, determine wait times of the third party service providers to assist with scheduling vehicles for conversion.

Abstract: Systems and techniques for a distributed in-vehicle realtime sensor data processing as a service are described herein. In an example, a system is adapted to receive a request for sensor data from vehicles. The system may be further adapted to generate an application for collection of the sensor data. The application may have sensor requirements for performing the collection of sensor data. The system may be further adapted to identify a set of vehicles for distribution of the application based on available sensors in each vehicle corresponding to the sensor requirements. The system may be further adapted to transmit the application to the set of vehicles and receive sensor data results from respective instances of the application executing on the set of vehicles. The system may be further adapted to transmit a command to remove the respective instances of the application from the set of vehicles.

Abstract: Mobility-as-a-Service (MaaS) provides technical solutions for technical problems facing this shift toward public and private vehicles for hire, including providing a platform for users to identify and select public transportation and private vehicles for hire. Users may plan and book transportation services through a MaaS platform, such as a smartphone application. Technical solutions described herein include improved identification and selection of a vehicle based on wireless communication, such as using Near-Field Communication (NFC), Bluetooth, Wi-Fi, and other wireless communication.

Abstract: A method for creating a road user spatio-temporal representation or threat map includes obtaining electronic map data for a spatial region and a plurality of map layers. Creating a map layer includes setting parameter(s) for a vehicle with respect to the map layer. For each subsection of the spatial region, creating the map layer includes defining a position and heading for the vehicle for each of the respective subsections and representing at least one object in the respective subsection using one or more probabilistic distributions with respect to at least velocity and position of the at least one object, and determining a collision risk value between the ego vehicle and the at least one object. The threat map is generated from the map layers with maximum acceptable collision risk values from the map layers.

Abstract: Various systems and methods for providing assistance at the end of an autonomous system journey are provided. A system can include an autonomous system configured to transport the user, a first sensor coupled to the autonomous system and configured to provide a sensor stream of an environment between the autonomous system and a terminus, and a terminus assistance processor mechanically coupled to the autonomous system. In an example, the terminus assistance processor can receive and process the sensor stream, detect and can track the user in the environment in response to the sensor stream, and can provide status information to a first mobile device based on the sensor stream.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: A safety device for a vehicle including a memory configured to store instructions; one or more processors coupled to the memory to execute the instructions stored in the memory, wherein the instructions implement a safety driving model for the vehicle to determine a safety driving state for the vehicle, wherein determining includes obtaining data for one or more objects in a vehicle environment of the vehicle, wherein the data comprises motion data associated with at least one object of the one or more objects; determining a predicted motion trajectory for at least one object of the one or more objects; determining whether a risk indicating a risk of a collision for the vehicle and the at least one or more objects exceeds a predefined risk threshold; and generating an information that the risk exceeds the predefined risk threshold to be considered in determining the safety driving state for the vehicle.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: An occupancy verification including one or more processors, configured to receive occupancy grid data representing a plurality of cells of an occupancy grid and for each cell of the plurality of cells, a probability of whether the cell is occupied; receive object location data, representing one or more locations of one or more objects identified using a model; map the object location data to one or more cells of the plurality of cells based on the one or more locations of the one or more objects; determine comparison grid data, representing the plurality of cells of the occupancy grid and for each cell of the plurality of cells, a probability of whether the cell is occupied based on whether the object location data are mapped to the cell; and compare the occupancy grid data to the comparison grid data using at least one comparing rule.

Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

Abstract: A sensor calibrator comprising one or more processors configured to receive sensor data representing a calibration pattern detected by a sensor during a period of relative motion between the sensor and the calibration pattern in which the sensor or the calibration pattern move along a linear path of travel; determine a calibration adjustment from the plurality of images; and send a calibration instruction for calibration of the sensor according to the determined calibration adjustment. Alternatively, a sensor calibration detection device, comprising one or more processors, configured to receive first sensor data detected during movement of a first sensor along a route of travel; determine a difference between the first sensor data and stored second sensor data; and if the difference is outside of a predetermined range, switch from a first operational mode to a second operational mode.

Abstract: An occupancy grid manager having a non-uniform occupancy which includes a plurality of cells, configurable in a plurality of cell sizes, each cell representing a region of an environment of a vehicle; and one or more processors, configured to determine one or more context factors; select a cell size for a cell of the plurality of cells based on the one or more context factors; process sensor data provided by one or more sensors; and determine a probability that the cell of the plurality of cells is occupied based on the sensor data.

Abstract: In some aspects, a safety system may be configured to receive vehicle position data indicating a position of a vehicle, determine a first lane segment in a lane coordinate system based on the vehicle position data, the first lane segment being a lane segment in which the vehicle is located, determine a relevant set of lane segments based on a safety-range from the first lane segment, determine or receive obstacle position data indicating a second lane segment in the lane coordinate system, the second lane segment being a lane segment in which an obstacle is located, and classify the obstacle either as a non-relevant obstacle in the case that the second lane segment is not included in the relevant set of lane segments, or as a relevant obstacle in the case that the second lane segment is included in the relevant set of lane segments.

Abstract: Aspects concern a method for controlling a braking of a vehicle. The method including detecting a braking situation, determining a classification of the braking situation, selecting a braking profile based on the determined classification, and applying a deceleration based on the selected braking profile to maintain a safety distance based on the selected braking profile.

Abstract: According to various aspects, a safety module is described including: one or more processors configured to receive road information representing a geometry of one or more roads in a Cartesian coordinate system, determine a lane coordinate system based on the received road information, the lane coordinate system including a plurality of lane segments arranged along a longitudinal direction and along a lateral direction of the lane coordinate system, wherein a length information and a width information are assigned to each of the lane segments, and determine a potential collision event based on the lane coordinate system.

Abstract: Technologies for visualizing moving objects on a bowl-shaped image include a computing device to receive a first fisheye image generated by a first fisheye camera and capturing a first scene and a second fisheye image generated by a second fisheye camera and capturing a second scene overlapping with the first scene at an overlapping region. The computing device identifies a moving object in the overlapping region and modifies a projected overlapping image region to visualize the identified moving object on a virtual bowl-shaped projection surface. The projected overlapping image region is projected on the virtual bowl-shaped projection surface and corresponds with the overlapping region captured in the first and second fisheye images.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: Technologies for visualizing moving objects on a bowl-shaped image include a computing device to receive a first fisheye image generated by a first fisheye camera and capturing a first scene and a second fisheye image generated by a second fisheye camera and capturing a second scene overlapping with the first scene at an overlapping region. The computing device identifies a moving object in the overlapping region and modifies a projected overlapping image region to visualize the identified moving object on a virtual bowl-shaped projection surface. The projected overlapping image region is projected on the virtual bowl-shaped projection surface and corresponds with the overlapping region captured in the first and second fisheye images.