Systems and methods are described that relate to a scanning laser system configured to emit laser light and an interlock circuit communicatively coupled to the scanning laser system. The interlock circuit may carry out certain operations. The operations include, as the scanning laser system emits laser light into one or more regions of an environment around the scanning laser system, determining a respective predicted dosage amount for each region based on the emitted laser light. The operations further include detecting an interlock condition. The interlock condition includes a predicted dosage amount for at least one region being greater than a threshold dose. In response to detecting the interlock condition, the operations include controlling the scanning laser system to reduce a subsequent dosage amount in the at least one region.

A parking assistance apparatus obtains a target travelling route including a forward section and a backward section and lets a vehicle move along the target travelling route such that the vehicle reaches a target parking position. The parking assistance apparatus execute a collision avoidance processing when an obstacle which is closer than a threshold distance is detected while the vehicle moves along the target travelling route. The distance between the vehicle and a specific region is kept to be larger than a clearance distance while the vehicle moves along the backward section such that the obstacle for the collision avoidance processing which cannot be detected while the vehicle moves along the forward section will not be found while the vehicle moves along the backward section. The specific region is determined on the basis of a detection region of a sensor device for detecting the obstacle and the threshold distance.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

Systems and methods for providing illumination-based object tracking information within a host vehicle. In some embodiments, the system may comprise a remote object detection module and an illumination display pattern within the vehicle comprising one or more light sources defining a pattern. The illumination display pattern may be configured to dynamically change in accordance with one or more objects being detected and/or tracked by the remote object detection module to convey visible information to vehicle occupants regarding such object(s).

Systems and methods for providing illumination-based object tracking information within a host vehicle. In some embodiments, the system may comprise a remote object detection module and an illumination display pattern within the vehicle comprising one or more light sources defining a pattern. The illumination display pattern may be configured to dynamically change in accordance with one or more objects being detected and/or tracked by the remote object detection module to convey visible information to vehicle occupants regarding such object(s).

A guidance apparatus for an autonomous vehicle and a method therefor are provided. The guidance apparatus includes a first guidance device that guides a passenger in the autonomous vehicle through first response information, a second guidance device that guides a rescuer outside the autonomous vehicle through second response information, and a controller that controls guidance on the first response information and guidance on the second response information, when abnormality occurs in the autonomous vehicle.

Systems and techniques are described for event detection. A described system includes a vehicle body containing body regions, sensors, processor, and memory. The sensors can include at least one sensor positioned about at least one body region of the body regions. The at least one body region can be associated with a region event type. The memory can store instructions thereon that, when executed by the processor, cause the processor to perform operations which can include obtaining data associated with at least one sensor measurement from the at least one sensor, determining that the at least one sensor measurement is associated with the region event type, and determining that an event associated with the region event type occurred based on determining that the at least one sensor measurement is associated with the region event type and that the at least one body region is associated with the region event type.

Described herein are systems, methods, and non-transitory computer-readable media for self-detection of fault conditions experienced by vehicle components, generation of device health codes indicative of the fault conditions, and broadcasting of the device health codes over mixed vehicle communication networks. The device health codes can be parsed to identify fault information, and the fault information can be assessed along with current vehicle operational data to determine a recommended vehicle response measure to one or more fault conditions experienced by one or more vehicle components.

Described herein are systems, methods, and non-transitory computer-readable media for self-detection of fault conditions experienced by vehicle components, generation of device health codes indicative of the fault conditions, and broadcasting of the device health codes over mixed vehicle communication networks. The device health codes can be parsed to identify fault information, and the fault information can be assessed along with current vehicle operational data to determine a recommended vehicle response measure to one or more fault conditions experienced by one or more vehicle components.