Abstract: Systems and methods are provided for adjusting headlight properties according to the speed of the vehicle. In particular, some embodiments aim to optimize a vehicle's lighting in suboptimal conditions. Using the data processed by the ADAS, the system is able to optimize the vehicle's lighting by taking into account various factors beyond the current speed limit on the road.

Abstract: System, methods, and other embodiments described herein relate to communicating alerts about a recommended speed by adapting headlight color. In one embodiment, a method includes computing a recommended speed using an automated driving system (ADS) during an operator controlling a vehicle while the ADS is disengaged. The method also includes, responsive to determining that a vehicle speed satisfies a threshold associated with the recommended speed and an offset value set according to a driving environment, adapting an alert color projected by headlights of the vehicle according to the vehicle speed and the alert color is corrected for operator perception of visible colors associated with the driving environment.

Abstract: Systems and methods are provided for lane biasing, e.g., positioning a vehicle within a current lane of travel. Lane biasing can be dependent on learned driver behaviors or other factors that may impact lane biasing, e.g., weather conditions, traffic conditions, and so on (which may also be learned). Lane biasing may result in a vehicle traveling, e.g., off the center-line of a current lane of travel, and is distinguished from conventional lane keep assist systems that merely position a vehicle in the center of a current lane of travel by default.

Abstract: A method controls a motor vehicle equipped with autonomous driving structure, sensors, fusion circuitry, and a road navigation assistance device. The method includes: determining a first value when the estimated trajectory of the vehicle intersects or approaches the central line of a traffic lane, determining a second value when the closest target object on the vehicle's driving line is also detected by a telemetry sensor, determining a third value when a collision will occur by comparing the distance between the closest target object and the vehicle to a predetermined threshold, determining a fourth value when the space between the vehicle and the closest target object is empty based on data from the telemetry sensor, and determining a fifth value when there is congestion on the trajectory of the vehicle, and then determining whether the autonomous driving structure can be activated based on only the first to fifth values.

Abstract: Systems and methods for optimizing the loading or unloading of cargo in a cargo area is provided. Friction-reducing elements, such as rails, may be disposed atop a surface of the cargo area. The friction-reducing elements vibrate pursuant to the application of vibrational energy generated by one or more vibration actuators operatively connected, directly or indirectly, to the friction-reducing elements. The application of vibrational energy reduces the time that cargo contacts the friction-reducing elements, which in turn, reduces the amount of friction applied to the cargo, easing the burden of loading/unloading the cargo.

Abstract: Systems and methods are provided for adjusting headlight properties according to the speed of the vehicle. In particular, some embodiments aim to optimize a vehicle's lighting in suboptimal conditions. Using the data processed by the ADAS, the system is able to optimize the vehicle's lighting by taking into account various factors beyond the current speed limit on the road.

Abstract: A method for managing the longitudinal speed of a first vehicle includes: detecting vehicles in traffic surrounding the first vehicle, including detecting at least one vehicle in front of the first vehicle and at least one vehicle behind the first vehicle; calculating reference speeds, including calculating at least one first reference speed depending on the at least one vehicle in front of the first vehicle and calculating at least one second reference speed depending on the at least one vehicle behind the first vehicle; calculating a maximum speed setpoint depending on the first reference speed; calculating a minimum speed setpoint depending on the second reference speed; calculating a speed setpoint of the first vehicle, the speed setpoint of the first vehicle being less than or equal to the maximum speed setpoint and greater than or equal to the minimum speed setpoint.

Abstract: System, methods, and other embodiments described herein relate to communicating a blending parameter. In one embodiment, a method includes obtaining a blending parameter that is indicative of a degree to which control of a vehicle is shared between an operator of the vehicle and an advanced driver-assistance system (ADAS) of the vehicle. The method further includes determining a feedback parameter based upon the blending parameter and a psychophysical model, wherein the psychophysical model optimizes a relationship between the blending parameter and the feedback parameter such that sensory feedback based upon the feedback parameter is perceived to be proportional to the blending parameter. The method further includes causing a feedback modality of a steering apparatus of the vehicle to provide the sensory feedback based upon the feedback parameter.

Abstract: Systems and methods are provided for preventing headwind debris from collecting on travel direction-facing housing surfaces of a vehicle by creating protective “air cushions” in front of the travel direction-facing housing surfaces. These air cushions may divert headwind air away from the travel direction-facing housing surfaces, ensuring that headwind debris does not collect on them. Examples may create these protective air cushions by propelling high pressure air through perforated surfaces in a contrary direction to headwind.

Abstract: Systems and methods are provided for communicating a blending parameter via tactile feedback at a driver's seat of a vehicle (examples of tactile feedback may comprise vibrations and temperature/heat applied through the driver's seat). The blending parameter may represent the ratio between the driver's level of authority and an autonomous driving system's level of authority in performing a driving task (e.g., lateral steering). By communicating changes to a blending parameter over time, examples can help a driver form a mental picture of how the vehicle/autonomous driving system is operating. This feedback/understanding may by advantageous for various purposes such as driver coaching and helping drivers become more comfortable with autonomous driving systems.

Abstract: A method for automated management of the longitudinal speed of a first vehicle travelling on a first lane includes: detecting an intention of a second vehicle travelling on a second lane adjacent to the first lane to perform an insertion maneuver on the first lane; estimating a corrected longitudinal distance, the corrected longitudinal distance corresponding to the longitudinal distance that will separate the first vehicle from the second vehicle at the end of the insertion maneuver, the corrected longitudinal distance being calculated as a function of a measured longitudinal distance between the first vehicle and the second vehicle, and as a function of a relative longitudinal speed measured between the second vehicle and the first vehicle; and calculating a longitudinal speed setpoint of the first vehicle as a function of the corrected longitudinal distance.

Abstract: System, methods, and other embodiments described herein relate to communicating alerts about a recommended speed by adapting headlight color. In one embodiment, a method includes computing a recommended speed using an automated driving system (ADS) during an operator controlling a vehicle while the ADS is disengaged. The method also includes, responsive to determining that a vehicle speed satisfies a threshold associated with the recommended speed and an offset value set according to a driving environment, adapting an alert color projected by headlights of the vehicle according to the vehicle speed and the alert color is corrected for operator perception of visible colors associated with the driving environment.

Abstract: Method for detecting traffic congestion using a motor vehicle radar system, comprising multi-beam radar sensors (21-24) in the rear and front corners of the vehicle, the method comprising the steps of: dividing the radar sensors (Df_l, Df_r, Dr_l, Dr_r) into four angular sectors (Zfront, Zrear, Zleft, Zright) extending to the front, to the rear, to the right and to the left of the vehicle respectively, selecting for each angular sector, from the beams for which no target is detected, the (Dfront, Drear, Dleft, Dright) beam having the shortest reach distance, detecting the amplitude of reflected beams corresponding respectively to the selected beams, and—analysing the period during which the amplitude of the reflected beams is maintained relative to a predefined time threshold for each angular sector respectively, the method detecting a traffic congestion situation when the analysing step determines simultaneously for the four angular sectors that the period during which the amplitude of the reflected beams is

Abstract: System, methods, and other embodiments described herein relate to providing visual feedback on a steering apparatus using a pscyhophysical model. In one embodiment, a method includes obtaining a difference between a current angle of a steering apparatus and a recommended angle of the steering apparatus. The method further includes determining an appearance parameter based upon the difference and a psychophysical model, wherein the psychophysical model optimizes a relationship between perceived light and the difference such that a change in the difference produces a proportional change in the perceived light. The method further includes illuminating a region of the steering apparatus with light based upon the appearance parameter.

Abstract: A method for a motor vehicle to select a preferred traffic lane to access a toll area having a plurality of traffic lanes includes the following: a) detecting traffic lanes of the toll area, b) determining, for at least some of the traffic lanes, a first item of data relating to the distance between the motor vehicle and the corresponding traffic lane, and a second item of data relating to the number of other vehicles situated on the corresponding traffic lane, c) minimizing a cost function that depends on each first item of data and on each second item of data, so as to identify the preferred traffic lane, and d) determining the possibility or the risk for the motor vehicle of changing traffic lane in order to move towards the preferred traffic lane.

Abstract: A method for estimating the speed of a motor vehicle includes defining a first speed threshold that corresponds to a minimum speed value supplied by a vehicle wheel angular speed sensor, defining a second speed threshold that is greater than the first, estimating low speed values when the vehicle is running below the first speed threshold by using an estimation method of adaptive filtered type, measuring high speed values when the vehicle is running above the second speed threshold by using vehicle speed values supplied by the wheel angular speed sensor, and in the intermediate zone between the first and second speed thresholds, mixing high speed with low speed.

Abstract: A method for determining a movement vector of a motor vehicle includes: determining, via a radar system of the vehicle, at two successive instants, positions, relative to the vehicle, of elements of an environment of the vehicle that are static relative to the environment, associating the positions determined at these two successive instants with each other in such a way as to form different pairs of positions each grouping together the preceding position and the subsequent position of a given element of the environment, and determining the movement vector of the vehicle by linear regression, based on the pairs of positions thus formed.

Abstract: A method for a motor vehicle to select a preferred traffic lane to access a toll area having a plurality of traffic lanes includes the following: a) detecting traffic lanes of the toll area, b) determining, for at least some of the traffic lanes, a first item of data relating to the distance between the motor vehicle and the corresponding traffic lane, and a second item of data relating to the number of other vehicles situated on the corresponding traffic lane, c) minimizing a cost function that depends on each first item of data and on each second item of data, so as to identify the preferred traffic lane, and d) determining the possibility or the risk for the motor vehicle of changing traffic lane in order to move towards the preferred traffic lane.

Abstract: A device for determining an operating state of an automobile from automobile data available on a CAN network of the vehicle, the device including a computer for mathematically processing the data to determine the operating state of the vehicle. The computer is hosted in a smartphone, a specific application for processing the data using the computer is implemented in the smartphone, recovery of the data from the CAN by the smartphone is carried out via a wired or wireless link, and the smartphone displays, via a graphical interface thereof, the operating state of the vehicle.

Abstract: A method for estimating the interval within which the total weight of an automobile vehicle is situated includes defining at least two intervals of weights, including determining a first situation in which the total weight of the vehicle belongs to the first interval and a second situation in which the total weight of the vehicle belongs to the second interval, calculating probabilities of being in the first or second situation knowing a value of the weight, calculating a risk of choosing the wrong interval as a function of the calculated probabilities and of a cost associated with an erroneous decision, and determining the interval within which the total weight of the vehicle is situated as a function of the risk.