Methods and systems are provided for adapting a driving condition of a vehicle. The system includes a non-transitory computer readable medium having stored thereon a pre-programmed driving maneuver of the vehicle. The system also includes a processor configured to obtain audio data of acoustic sources in the environment of the vehicle. The processor is further configured to determine a receiving direction of the acoustic source based on the audio data. The processor is further configured to determine whether the acoustic source are located within the maneuver of the vehicle based on the pre-programmed or updated driving maneuvers and the determined receiving direction of the acoustic source. Furthermore, the processor is configured to determine a range between the vehicle and the acoustic source in order to determine that the acoustic source is located within the driving path of the vehicle.

A vehicle control apparatus that controls a vehicle, comprising a controller configured to execute lane departure suppression control to suppress the vehicle from departing from a division line, wherein in a case in which the shape of a road is a curve, the controller delays an operation timing of the lane departure suppression control compared to a case in which the shape of the road is not the curve, and in a case in which the shape of the road is the curve and an oncoming vehicle is detected, the controller decreases an amount of delay of the operation timing of the lane departure suppression control compared to a case in which the shape of the road is the curve and the oncoming vehicle is not detected.

A method, system and device are disclosed for determining safety conflicts in redundant subsystems of autonomous vehicles. Each redundant subsystem calculates a world model or path plan, including locations, dimensions, and orientations of moving and stationary objects, as well as projected travel paths for moving objects in the future. The travel paths and projected future world models are subsequently compared using a geometric overlay operation. If at future time moments the projected world models match within predefined margins, the comparison results in a match. In case of a mismatch at a given future moment between projected world models, a determination is made as to whether the autonomous vehicle and all road users in this future moment are safe from collision or driving off the drivable space or road based on a geometric overlay operation.

A motion planner performs motion planning with collision assessment, using a motion planning lattice that represents configuration states of a primary agent (e.g., autonomous vehicle) as nodes and transitions between states as edges. The system may assign cost values to edges, the cost values representing probability or likelihood of collision for the corresponding transition. The cost values may additionally or alternatively represent a severity of collision, for example generated via a parametric function with two or more parameters and one or more weights. A primary agent and/or dynamic obstacles may be represented as respective oriented bounding boxes. Some obstacles (e.g., road markings, edge of road) may be represented as curves. A trajectory of a primary agent and/or dynamic obstacle may be represented by respective sets of fitted polynomial functions, edges on the planning graph, which represent transitions in states of the primary agent, the system sets value representing a probability of collision, and optionally representing a severity of the collision. The system then causes the actuator system of the primary agent to implement a motion plan with the applicable identified path based at least in part on the optimization.

A driving assist device includes a first sensor, a second sensor, and a control device. The control device does not execute an inter-vehicle distance control under a predetermined first condition upon determination that at least one preceding object is detected based on the output of one of the first sensor and the second sensor without being detected based on the output of the other of the first and second sensors; and an environment of a non-detection sensor that is the other of the first and second sensors satisfies a first requirement for determination of a reliability of the output of the non-detection sensor; and the control device executes the inter-vehicle distance control under a predetermined second condition upon determination that the environment of the non-detection sensor satisfies a second requirement for determination of the reliability of the output of the non-detection sensor.

A driving support apparatus for an own vehicle includes a lane keeping assist control unit. When an interrupting vehicle enters ahead of the own vehicle in (i) a situation in which no preceding vehicle is present ahead of the own vehicle, or (ii) a situation in which a preceding vehicle is present ahead of the own vehicle, while a deviation angle formed between a direction of a traveling trajectory of the interrupting vehicle and a traveling direction of the own vehicle is larger than a threshold, the lane keeping assist control unit is configured not to perform a lane keeping assist control based on the traveling trajectory of the interrupting vehicle, and is configured to discard the traveling trajectory of the interrupting vehicle. On and after the deviation angle becomes equal to or smaller than the threshold, the lane keeping assist control unit is configured to perform the lane keeping assist control based on the traveling trajectory of the interrupting vehicle.

Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

A car and a neighboring vehicle lane departure warning system and method are provided. The system includes a cloud server and a plurality of cars connected to the cloud server. Each car includes a vehicle body and a neighboring vehicle lane departure warning apparatus disposed on the vehicle body. The cloud server outputs a reminder signal to the cars within a specific distance of the neighboring vehicle after receiving a neighboring vehicle lane departure message, so that the drivers can be informed in time that the neighboring vehicle moves out of its lane, and can keep a proper distance from the neighboring vehicle in advance to prevent accidents.

A method of providing object detection warning to an operator of a machine is provided. The machine includes object detection modules, a display unit and a controller communicably coupled to the object detection modules and the display unit. The method detects at least one object being located within a predefined distance range from the machine and determines a distance and position of the detected at least one object relative to the machine. The method further displays a threat warning widget on the display unit. The widget includes a plurality of threat level indicators, each of the threat level indicators being representative of a warning level as a function of distance and position of the object relative to the machine. Furthermore, the method activates at least one threat level indicator based on the determined distance and position of the detected at least one object relative to the machine.

An autonomous vehicle is described, wherein the autonomous vehicle is configured to estimate a change in direction of a vehicle that is on a roadway and is proximate to the autonomous vehicle. The autonomous vehicle has a mechanical system, one or more sensors that generate one or more sensor signals, and a computing system in communication with the mechanical system and the one or more sensors. The autonomous vehicle is configured to detect an imminent lane change by another vehicle based on at least one of a computed angle between a wheel of the other vehicle and a longitudinal direction of travel of the other vehicle, a degree of misalignment between the wheel of the other vehicle and a body of the other vehicle, and/or an eccentricity of the wheel of the other vehicle. The mechanical system of the autonomous vehicle is controlled by the computing system based upon the detected imminent lane change.