  This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit
Speech Recognition Challenge (ICSRC). We first address the necessity of the
challenge and then introduce the associated dataset collected from a new-energy
vehicle (NEV) covering a variety of cockpit acoustic conditions and linguistic
contents. We then describe the track arrangement and the baseline system.
Specifically, we set up two tracks in terms of allowed model/system size to
investigate resource-constrained and -unconstrained setups, targeting to
vehicle embedded as well as cloud ASR systems respectively. Finally we
summarize the challenge results and provide the major observations from the
submitted systems.
