  Motivated by future automotive applications, we study the joint target
detection and parameter estimation problem using orthogonal time frequency
space (OTFS), a digital modulation format robust to time-frequency selective
channels. Assuming the transmitter is equipped with a mono-static MIMO radar,
we propose an efficient maximum likelihood based approach to detect targets and
estimate the corresponding delay, Doppler, and angle-of-arrival parameters. In
order to reduce the computational complexity associated to the high-dimensional
search, our scheme proceeds in two steps, i.e., target detection and coarse
parameter estimation followed by refined parameter estimation. Interestingly,
our numerical results demonstrate that the proposed scheme is able to identify
multiple targets if they are separated in at least one domain out of three
(delay, Doppler, and angle), while achieving the Cram\'er-Rao lower bound for
the parameter estimation.
