Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Winning the ICCV 2019 Learning to Drive Challenge   Autonomous driving has a significant impact on society. Predicting vehicle
trajectories, specifically, angle and speed, is important for safe and
comfortable driving. This work focuses on fusing inputs from camera sensors and
visual map data which lead to significant improvement in performance and plays
a key role in winning the challenge. We use pre-trained CNN's for processing
image frames, a neural network for fusing the image representation with visual
map data, and train a sequence model for time series prediction. We demonstrate
the best performing MSE angle and best performance overall, to win the ICCV
2019 Learning to Drive challenge. We make our models and code publicly
available.

20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th