Disclosed is a driver assistance apparatus for a vehicle, the apparatus including: a camera configured to acquire a front field-of-view image of the vehicle; an output unit; and a processor configured to detect at least one traffic sign based on the front field-of-view image of the vehicle, determine whether the traffic sign fits travel information of the vehicle, and, when the traffic sign fits the vehicle travel information, perform control to output the traffic sign through the output unit.

The present disclosure is directed to performing one or more validity checks on potential trajectories for a device, such as an autonomous vehicle, to navigate. In some examples, a potential trajectory may be validated based on whether it is consistent with a current trajectory the vehicle is navigating such that the potential and current trajectories are not too different, whether the vehicle can feasibly or kinematically navigate to the potential trajectory from a current state, whether the potential trajectory was punctual or received within a time period of a prior trajectory, and/or whether the potential trajectory passes a staleness check, such that it was created within a certain time period. In some examples, determining whether a potential trajectory is feasibly may include updating a set of feasibility limits based on one or more operational characteristics of statuses of subsystems of the vehicle.

A system and method for dynamically managing application loads on a vehicle includes: receiving a plurality of distinct application requests; for each one application request, identifying expected computing resource expenditure data based on one or more attributes of each one application request; and identifying current state data for each of a plurality of computing resources of the vehicle based on an expected utilization of each of the plurality of computing resources for fulfilling each one application request; dynamically generating an execution schedule for executing a subset of or each of the plurality of distinct application requests based on (1) the expected computing resource expenditure data for each one application request and (2) the current state data for each of the plurality of computing resources of the vehicle; and executing the subset of or each of the plurality of distinct application requests based on the execution schedule.

A speed control system to control retardation energy of a vehicle and a method of controlling retardation energy of a vehicle are provided. The system includes an energy storage device configured to absorb and store the retardation energy of the vehicle. The energy storage device includes a power absorption limit determined at least partially by a temperature and a state of charge of the energy storage device. The system further includes a non-energy-storing retarder configured to absorb the retardation energy of the vehicle and a controller configured to route the retardation energy to the energy storage device up to the power absorption limit and route a remaining portion of the retardation energy to the non-energy-storing retarder.

The disclosure provides a system and method for autonomously routing delivery vehicles. An autonomous routing system may generate, a plurality of routing passes, each routing pass including a set of parameters, by a processor using one or more business rules that describe a set of allowed values for one or more of the parameters. The autonomous routing system may Execute each the plurality of routing passes on a routing platform configured to generate a routing plan corresponding to a single routing pass. autonomous routing system may select, by the processor, one of the plurality of routing passes according to a comparison rule set that assigns a score to each routing plan corresponding to a respective one of the plurality of routing passes. The autonomous routing system may dispatch the selected routing pass via the routing platform.

The invention relates to a system and method for assisting a driver in driving a vehicle. First information on an environment of the vehicle is obtained and an instruction from the vehicle driver is received. An evaluation task defining an aspect of a current traffic situation encountered by the vehicle and to be evaluated is defined from the received instruction. An evaluation of the obtained information according to the evaluation task is performed, and an evaluation result is generated. Other aspects of the traffic situation and their relation to the aspect defined in the task are then evaluated additionally. Finally an information on the basis of the evaluation result and the other determined aspects is generated and output.

A collision avoidance device includes an electronic control unit configured to: determine whether or not a driver of a host vehicle performs turn-back steering based on a detection value of a steering angle or steering torque detected by a steering sensor of the host vehicle; and execute the collision avoidance control for avoiding a collision between the host vehicle and an obstacle in a case where the electronic control unit determines that there is a collision possibility between the host vehicle and the obstacle based on a path of the host vehicle and a position of the obstacle, wherein the electronic control unit is configured not to execute the collision avoidance control while the electronic control unit determines that the driver of the host vehicle performs turn-back steering.

A method is provided for autonomously operating a vehicle. The method includes receiving, at a processor, at least vehicle state data and vehicle object environment data; generating, with the processor, an optimal path for the vehicle with a cost function based on the vehicle state data and the vehicle object environment data; identifying, with the processor, at least one critical condition constraint based on at least one of the vehicle or vehicle environment; modifying, with the processor, at least a first portion of the optimal path based on the at least one critical condition constraint to result in a short-range trajectory portion; generating a resulting trajectory with the short-range trajectory portion; and implementing the resulting trajectory on the vehicle.

In accordance with one aspect of the present disclosure, a vehicle may include a plurality of sensors configured to detect an object and to output a plurality of detection signals having a steering torque related to a result of detection; a braking device driver configured to drive a driving device of the vehicle; and a controller configured to select a single detection signal among the plurality of detection signals based on a predetermined priority, and configured to output an integrated control signal controlling the braking device driver based on the determined steering torque of the detection signal.

Systems, apparatus, methods, and techniques for an ego vehicle to respond to detecting misbehaving information from remote vehicles are provided. An ego vehicle, in addition to reporting misbehaving vehicles to a misbehavior authority via a vehicle-to-anything communication network, can, take additional actions based in part on how confident the ego vehicle is about the evidence of misbehavior. Where the confidence is high the ego vehicle can simply discard the misbehaving data and provide an alternative estimate for such data from alternative sources. Where the confidence is not high the ego vehicle can request assistance from neighboring vehicles and roadside units to provide independent estimates of the data to increase confidence in the evidence of misbehavior.