In order to facilitate automated driving, a reliable representation of a vehicle’s environment is required. This chapter provides a survey of techniques for the perception of both static and dynamic environments including key algorithms for object tracking and data fusion. In addition, the particular challenges of this field from a practitioner’s perspective are discussed and compared to the state-of-the-art design and implementation paradigms.
CITATION STYLE
Schubert, R., & Obst, M. (2016). The role of multisensor environmental perception for automated driving. In Automated Driving: Safer and More Efficient Future Driving (pp. 161–182). Springer International Publishing. https://doi.org/10.1007/978-3-319-31895-0_7
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