According to one aspect, a method includes identifying, in a scene around a vehicle, at least a first object, wherein the at least first object is identified using data obtained from a sensor system of the vehicle. The method also includes determining a first type associated with the at least first object, identifying at least a first indicator associated with the first type, and providing the at least first indicator associated with the first type to a display arrangement configured to display the scene and the at least first indicator.

Road safety barrier assembly has a barrier and an electric circuit that can be supplied with direct current. The circuit includes an outward electric cable and a return electric cable, and sensors along the barrier for detecting impact of a vehicle against respective portions of the barrier, each sensor causing upon impact detection a switching of electric current from the outward electric cable towards the return electric cable at the respective portion of the barrier. A device is arranged so as to measure a voltage value between the outward electric cable and the return electric cable upstream of the sensors. A control unit is predisposed to receive a signal indicating the voltage value measured by the voltage measuring device and is configured to calculate the distance between the voltage measuring device and the location of impact against the road safety barrier, by applying Ohm's Law.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

A collision avoidance method and system for a mobile robot crossing a road. When a mobile robot approaches a road, it senses road conditions via at least one first sensor, and initiates road crossing if the road conditions are deemed suitable for crossing. As it crosses the road, the mobile robot senses, via at least one second sensor, a change in the road conditions indicating the presence of at least one hazardous moving object. In response to determining that at least one hazardous object in present, the mobile robot initiates a collision avoidance maneuver. A mobile robot configured to avoid collisions while crossing a road includes: at least one first sensor configured to sense road conditions, at least one second sensor configured to sense road conditions, and a processing component configured to carry out one or more collision avoidance maneuvers.

A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.

A device and a method for predicting traffic information are provided. The traffic information predicting device may include a data calculating device configured to derive inter-vehicle spacings, inter-vehicle head spacings, and a vehicle density using a plurality of sensors mounted on a vehicle, and a predicting device configured to derive travel speed data corresponding to the vehicle density and predict traffic information.

Systems and methods are provided for generating a rear view image display for a motor vehicle. A rear view system includes an optical sensor disposed at the motor vehicle and configured to capture image data, a computational unit coupled to the optical sensor by a cable connection and configured to execute program instructions stored on a computer-readable medium to modify the image data for presentation, and a display device coupled to the computational unit and configured to receive the modified image data from the computational unit and display the modified image data to a driver of the motor vehicle. The computational unit is further configured to receive software calibration to optimize modification of the image data.

Systems and methods for vehicle-to-vehicle communications are provided. An example computer-implemented method includes obtaining from a first autonomous vehicle, by a computing system onboard a second autonomous vehicle, a first compressed intermediate environmental representation. The first compressed intermediate environmental representation is indicative of at least a portion of an environment of the second autonomous vehicle and is based at least in part on sensor data acquired by the first autonomous vehicle at a first time. The method includes generating, by the computing system, a first decompressed intermediate environmental representation by decompressing the first compressed intermediate environmental representation. The method includes determining, by the computing system, a first time-corrected intermediate environmental representation based at least in part on the first decompressed intermediate environmental representation. The first time-corrected intermediate environmental representation corresponds to a second time associated with the second autonomous vehicle.

A method of vehicle detection is provided. The method comprises receiving an image from a traffic camera, wherein the image contains vehicle traffic flow. A number of regions in the image that exceed a predetermined number of candelas are identified and masked. Contrast edges are added around the masked regions in the image. One or more vehicles are detected in the image based on the contrast edges.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.