Methods and systems for providing vehicular safety control are described herein. In some embodiments, a system of vehicular safety control can help reduce or avoid human, animal, property, monetary, time and/or energy losses. The system comprises or uses sensors to perceive driving environments, and analyses of guidance commands and sensor data can evaluate potential risks. In general, implementations may include a computer-based method for controlling a vehicle, the method comprising: (a) receiving sensor data; (b) receiving a guidance command; (c) analyzing the sensor data and the guidance command, wherein the analysis comprises assessing a potential risk; and generating a control signal, wherein (1) when a potential risk is not detected, generating a control signal comprises converting the guidance command into the control signal, and (2) when a potential risk is detected, generating a control signal comprises modifying the guidance command and converting a modified guidance command into the control signal.

A supercomputer, with traffic-modeling software and 5G/6G connectivity, can assist an autonomous vehicle in avoiding, or at least minimizing the expected harm of, an imminent collision. Upon detecting the imminent collision, the autonomous vehicle can transmit a message to an access point, requesting an uncontested direct communication link to the supercomputer, and then transfer sensor data and other traffic data to the supercomputer through the access point. The supercomputer can calculate a multitude of sequences of braking, steering, and accelerating actions of the autonomous vehicle, and can select the sequence that enables the autonomous vehicle to avoid the collision if possible. If all sequences cannot avoid the collision, the supercomputer can select the sequence that results in the least harm (fatalities, injuries, and property damage) in the unavoidable collision. The supercomputer relays the selected best sequence of actions through the access point to the autonomous vehicle, thereby mitigating the collision.

Provided is a driving assistance device that makes it possible to smoothly accelerate from a stop or from a speed close to a stop. A target acceleration/deceleration output unit of the driving assistance device has: a first map that stores first target accelerations which are associated with inter-vehicle distance and with relative speed; a second map that stores second target accelerations which are associated with inter-vehicle distance and with relative speed and which are greater than the first target accelerations with respect to inter-vehicle distance and relative speed; and a selection unit that selects, according to a vehicle speed, whether to use the output of the first map and/or whether to use the output of the second map.

Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

A vehicle control apparatus is provided with: a recognizer configured to recognize a surrounding situation of a host vehicle; a controller programmed to perform a deceleration control when a deceleration target is recognized by the recognizer; and a detector configured to detect a slip of the host vehicle. The controller sets a first controlled variable, which is a controlled variable associated with the deceleration control when the slip of the host vehicle is detected without execution of the deceleration control, so as to suppress an extent of deceleration of the host vehicle, in comparison with a second controlled variable, which is the controlled variable when the slip of the host vehicle is not detected without execution of the deceleration control.

A system for determining a lane change decision based on a downstream traffic state can include a processor, a communications device, and a memory. The processor can be disposed on an ego vehicle. The memory can store an acceleration gain module and a communications module. The acceleration gain module can include instructions that cause the processor to: (1) obtain, via the communications device and from a monitoring system, information about an end of stopped or slow moving downstream traffic in a lane and (2) calculate a result of an equation for the lane change decision. The equation can include information about virtual vehicles positioned near the end or a geographical location. The communications module can include instructions that cause the processor to cause a signal, with information based on the result, to be sent to a component of the ego vehicle for an action to be performed by the component.

A traveling control apparatus performs a target-following control process on a target to be followed detected by a target detecting unit. Further, the traveling control apparatus calculates a probability that the target to be followed is within an own lane, and determines whether a degree of recognition by the target detecting unit of the target to be followed is in a weakly recognized state where the degree of recognition is weaker than a predetermined degree. The apparatus sets a reliability of the target to be followed on the basis of the probability calculated by a probability calculating process and a determination result by a determining process, and controls acceleration of an own vehicle so that a jerk which is a differential value of the acceleration becomes smaller as the reliability of the target to be followed is lower while the target-following control process is performed.

The present invention relates to a method for avoiding collisions of a moving vehicle with other road users in the surroundings of the vehicle, comprising at least the method steps of: a) detecting, by means of one or more sensors, the vehicle surroundings and the other road users located therein; b) dividing the vehicle surroundings into a plurality of occupied areas; c) classifying the other road users detected in method step a), wherein, by means of the classification, at least one road user group is assigned to each of the other road users; d) prioritising the road user classified in method step c), taking into account both the classification carried out in method step c) and the occupied area defined in method step b), wherein road users from one or more predetermined road user groups in the particular occupied area are given a high priority and road users from other, non-predetermined road user groups in the particular occupied area are given a lower priority; and e) determining the probability of collision of the other road users with the vehicle, wherein the collision probability is determined in accordance with the prioritisation carried out in method step d) and the collision probability of the other road users having a high priority is determined first; f) changing or maintaining the current driving behaviour of the vehicle on the basis of the collision probabilities determined in method step e).

The disclosure relates to a vehicle control system, a vehicle control method, a computer device, a computer-readable storage medium, and a vehicle. A vehicle control system according to an aspect of the disclosure includes: an autonomous driving control module configured to generate first planning information and second planning information in real time based on vehicle environment information, vehicle status information, and vehicle destination information, where the second planning information is used for safe parking; and a vehicle dynamic control module configured to receive the first planning information and the second planning information from the autonomous driving control module in real time, to generate a first control instruction based on the received first planning information or generate a second control instruction based on the received second planning information.

The invention relates to a method for controlling an at least partially autonomously driving ego vehicle, at least the surroundings, legal driving conditions and the traffic in front of the ego vehicle in a current lane being detected by sensors. The problem addressed by the invention is that of providing an improved method. The problem is solved in that a first query relating to a possible speed is carried out, and a target acceleration is calculated when it is detected that the possible speed is greater than the current speed, and a second query is carried out as to whether there is a vehicle in an adjacent lane within an observation region, whether an acceleration at the calculated target acceleration is carried out, since no vehicle has been detected within the observation region, or whether no acceleration at the target acceleration is carried out, since a vehicle has been detected within the observation region.