Systems, apparatus and methods implemented in algorithms, hardware, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, road debris, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may be configured to implement interior active safety systems to protect passengers of the autonomous vehicle during a collision with an object or during evasive maneuvers by the autonomous vehicle, for example. The interior active safety systems may be configured to provide passengers with notice of an impending collision and/or emergency maneuvers by the vehicle by tensioning seat belts prior to executing an evasive maneuver and/or prior to a predicted point of collision.

Using a read sensor to sense wrong-way driving. A method may include sensing, by a rear sensor of a vehicle, an environment of the vehicle to provide rear sensed information; processing the rear sensed information to provide at least one rear-sensed vehicle progress direction indications; generating or receiving at least one front-sensed vehicle progress direction indications; wherein the at least one front-sensed vehicle progress direction indications is generated by processing front-sensed information acquired during right-way progress; comparing at least one rear-sensed vehicle progress direction indications to the at least one front-sensed vehicle progress direction indications to determine whether the vehicle is wrong-way driving; and responding to the finding of the wrong-way driving.

A method for providing a driving guideline in a moving object may include: triggering a driving guideline provision instruction in the moving object; based on the implemented triggering, generating, by the moving object, a driving guideline; outputting the generated driving guideline; and driving, by the moving object, based on the driving guideline.

A driving assist system assists driving of a vehicle. A deceleration target includes at least one of a preceding vehicle, a mandatory stop line, a mandatory stop sign, a traffic signal, and a stop line before the traffic signal that exist ahead of the vehicle. A risk factor includes at least one of a pedestrian, a bicycle, a motorcycle, an oncoming vehicle, and a parked vehicle that exist ahead of the vehicle. The driving assist system executes: deceleration assist control that automatically decelerates the vehicle before the deceleration target; and risk avoidance control that automatically performs at least one of steering and deceleration of the vehicle so as to avoid the risk factor. When both the deceleration assist control and the risk avoidance control operate concurrently, the driving assist system notifies a driver of the vehicle of not the deceleration target but the risk factor.

A driving assist system assists driving of a vehicle. A deceleration target includes at least one of a preceding vehicle, a mandatory stop line, a mandatory stop sign, a traffic signal, and a stop line before the traffic signal that exist ahead of the vehicle. A risk factor includes at least one of a pedestrian, a bicycle, a motorcycle, an oncoming vehicle, and a parked vehicle that exist ahead of the vehicle. The driving assist system executes: deceleration assist control that automatically decelerates the vehicle before the deceleration target; and risk avoidance control that automatically performs at least one of steering and deceleration of the vehicle so as to avoid the risk factor. When both the deceleration assist control and the risk avoidance control operate concurrently, the driving assist system notifies a driver of the vehicle of not the risk factor but the deceleration target.

The present invention makes it possible to achieve both securing safety and energy saving at the time of following a preceding vehicle. In the present invention, the preceding vehicle feature amount extraction unit 101 extracts the feature amounts of the preceding vehicle based on the information transmitted from the outside world recognition unit 120, the own vehicle information recognition unit 130, the communication unit 140, and the information storage unit 150, the preceding vehicle classification unit 102 classifies the preceding vehicle based on the feature amount of the preceding vehicle obtained from the preceding vehicle feature amount extraction unit 101, and the travel planning unit 103 corrects the inter-vehicle distance or inter-vehicle time at the time of following the preceding vehicle, or proposes a lane change to an adjacent lane based on the classification result of the preceding vehicle classification unit 102.

Provided is a method including detecting at least one external vehicle located within a predetermined distance from a first vehicle using at least one sensor; determining a risk due to the at least one external vehicle based on a type of the at least one external vehicle; and planning a traveling path of the first vehicle based on the risk due to the at least one external vehicle.

A control device of a vehicle is configured to control travelling of the vehicle such that the vehicle follows a preceding vehicle based on information received from the preceding vehicle, and determine, based on information regarding a cargo space of the preceding vehicle, an inter-vehicle distance to the preceding vehicle when the vehicles stop. Upon the preceding vehicle having stopped, the device stops the vehicle such that a distance between the vehicle and the preceding vehicle becomes the inter-vehicle distance determined by the device.

A method is provided that includes receiving user input identifying a travel destination for a first vehicle, determining, by a processor, a first route for the first vehicle to follow, and configuring the first vehicle to follow the first route. The method further includes obtaining a model for a second vehicle that shares a road with the first vehicle and comparing model to a pre-determined template for a vehicle that is known to be a special purpose vehicle in order to determine whether the first template and the second template match. The method further includes determining, by the processor, a second route that leads to the travel destination, when a match is found to exist, and switching the first vehicle from following the first route to following the second route.

A driver assistance system for a vehicle including an autonomous cruise control to autonomously control at least vehicle speed, position data obtaining unit to obtain vehicle position data, ego-vehicle sensor data obtaining unit to obtain ego-vehicle sensor data related to objects in proximity to the vehicle, works data receiving unit to receive works data regarding current roadworks within a predetermined distance of the vehicle, and a processor to determine, based on the ego-vehicle sensor data, the works data, the position data, the vehicle's position and direction of travel relative to one or more roadworks, and when the processor determines the vehicle is approaching one or more roadworks and the vehicle distance to the roadwork is less than a threshold distance, or when the processor determines that the vehicle is already present within a roadwork and the autonomous cruise control is enabled, disable the autonomous cruise control.