Abstract: A Light Detection and Ranging (LIDAR) apparatus and method are disclosed having a rotatable light source enabled to emit a light ray, the light ray being emitted at a plurality of angular intervals; a reflection device, which can be parabolic in shape, and an analysis device for calculating a position at which one or more features are present based on the angle that the light ray was emitted and the time delay associated with the received reflected light, from a feature, wherein the analysis device takes into account the reflection of the light ray from the reflection device. In this manner, light rays may be reflected from heading in one direction to improve the resolution of the LIDAR in a second direction. Furthermore, where a parabolic reflector is used, positions of features can be calculated directly in a Cartesian coordinate system. Autonomous vehicles can use a LIDAR such as described herein to improve forward looking resolution in collision avoidance systems or terrain selection systems.

Abstract: The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate.

Abstract: A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.

Abstract: The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate.

Abstract: A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets.

Abstract: A Light Detection and Ranging (LIDAR) apparatus and method are disclosed having a rotatable light source enabled to emit a light ray, the light ray being emitted at a plurality of angular intervals; a reflection device, which can be parabolic in shape, and an analysis device for calculating a position at which one or more features are present based on the angle that the light ray was emitted and the time delay associated with the received reflected light, from a feature, wherein the analysis device takes into account the reflection of the light ray from the reflection device. In this manner, light rays may be reflected from heading in one direction to improve the resolution of the LIDAR in a second direction. Furthermore, where a parabolic reflector is used, positions of features can be calculated directly in a Cartesian coordinate system. Autonomous vehicles can use a LIDAR such as described herein to improve forward looking resolution in collision avoidance systems or terrain selection systems.