Abstract: A method for lane and roadway detection uses a multitask DNN architecture including an encoder, a first decoder and a second decoder. The method includes the following steps: providing an input image by an optical detection device, filtering the input image by the encoder, generating a first representation of the lane and/or roadway by the encoder, processing the first representation in the first and second decoders, outputting two different representations from the first and second decoders, combining the two different representations, and outputting identified lanes, lane markings and the roadway.

Abstract: The invention relates to a method for lane detection (S1-S3) and roadway detection (1), wherein a multitask DNN architecture is used for detection and consists of at least one encoder and at least one first and one second decoder, the method comprising the following steps: providing (VS1) an input image by means of an optical detection device, filtering (VS2) the input image by means of the encoder, generating (VS3) a first representation of the lane (S1-S3) and/or roadway (1) by the encoder, forwarding (VS4) the first representation to the first and the second decoder, processing (VS5) the first representation in the first and the second decoder, outputting (VS6) two further different representations of the first and second decoder, combining (VS7) the two representations of the first and the second decoder, outputting (VS8) identified lanes (S1-S3) and lane markings and also the roadway (1).