Processing environmental data of an environment of a vehicle
A method, a computer program code, an apparatus for processing environmental data of an environment of a vehicle, a driver assistance system, which makes use of such a method or apparatus, and an autonomous or semi-autonomous vehicle comprising such a driver assistance system. Depth data of the environment of the vehicle is received from at least one depth sensor of the vehicle. Furthermore, thermal data of the environment of the vehicle is received from at least one thermal sensor of the vehicle. The depth data and the thermal data are then fused to generate fused environmental data.
1. A method for processing environmental data of an environment of a vehicle, comprising:
receiving depth data of the environment of the vehicle from at least one depth sensor of the vehicle;
receiving thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
merging the depth data and the thermal data to generate merged environmental data; and
generating an augmented occupancy grid by the merging of the depth data and the thermal data distinguishing hot and cold objects.
2. The method according to claim 1 , wherein fusing comprises:
performing an image registration that results in a 2-channel structure, a first channel for the depth data and a second channel for the thermal data, where each channel is a 2-dimensional image.
3. The method according to claim 1 , further comprising:
providing the merged environmental data to a neural network.
4. The method according to claim 3 , wherein the neural network provides a driving scene classification.
5. The method according to claim 4 , wherein the driving scene classification is one of inner city, motorway, country road, tunnel, and parking lot.
6. The method according to claim 1 , further comprising:
generating path information based at least in part on the merged environmental data.
7. The method according to claim 6 , wherein the path information describes a trajectory that avoids cells of the augmented occupancy grid indicating a high temperature.
8. The method according to claim 1 , wherein the at least one depth sensor of the vehicle is a radar sensor, a lidar sensor, or an ultrasound sensor.
9. The method according to claim 1 , wherein the at least one thermal sensor of the vehicle is a thermographic camera.
10. A method for processing environmental data of an environment of a vehicle, comprising:
receiving depth data of the environment of the vehicle from at least one depth sensor of the vehicle;
receiving thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
merging the depth data and the thermal data to generate merged environmental data;
generating an augmented occupancy grid is generated by the merging of the depth data and the thermal data;
generating path information based at least in part on the merged environmental data; and
assigning weights for the generating of the path information to respective cells of the augmented occupancy grid as a function proportional to the thermal data,
wherein the path information describes a trajectory that avoids cells of the augmented occupancy grid indicating a high temperature.
11. A computer program code stored on a non-transient computer readable media comprising instructions, which, when executed by at least one processor, cause the at least one processor to:
receive depth data of an environment of a vehicle from at least one depth sensor of the vehicle;
receive thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
merge the depth data and the thermal data to generate merged environmental data; and
generate an augmented occupancy grid by the merging of the depth data and the thermal data distinguishing hot and cold objects.
12. An apparatus for processing environmental data of an environment of a vehicle, the apparatus comprising:
at least one input for receiving depth data of the environment of the vehicle from at least one depth sensor of the vehicle and for receiving thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
a merging unit configured to merge the depth data and the thermal data to generate merged environmental data; and
generating an augmented occupancy grid by the merging of the depth data and the thermal data distinguishing hot and cold objects.
13. A driver assistance system comprising an apparatus configured to environmental data of an environment of a vehicle, comprising:
at least one input for receiving depth data of the environment of the vehicle from at least one depth sensor of the vehicle and for receiving thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
a merging unit configured to merge the depth data and the thermal data to generate merged environmental data; and
generating an augmented occupancy grid by the merging of the depth data and the thermal data distinguishing hot and cold objects.
14. An autonomous or semi-autonomous vehicle comprising:
a driver assistance system comprising an apparatus configured to environmental data of an environment of a vehicle, comprising:
at least one input for receiving depth data of the environment of the vehicle from at least one depth sensor of the vehicle and for receiving thermal data of the environment of the vehicle from at least one thermal sensor of the vehicle;
a merging unit configured to merge the depth data and the thermal data to generate merged environmental data; and
generating an augmented occupancy grid by the merging of the depth data and the thermal data distinguishing hot and cold objects.