Exploring the expected quantizing scheme with suitable mixed-precision p...
Developing autonomous vehicles (AVs) helps improve the road safety and
t...
Precisely modeling interactions and accurately predicting trajectories o...
This paper presents a driver-specific risk recognition framework for
aut...
In recent years, road safety has attracted significant attention from
re...
The end-to-end speech synthesis model can directly take an utterance as
...
This paper proposes a life-long adaptive path tracking policy learning m...
Quantization has been proven to be a vital method for improving the infe...
Expressive neural text-to-speech (TTS) systems incorporate a style encod...
Unmanned vehicles often need to locate targets with high precision durin...
The urban intersection is a typically dynamic and complex scenario for
i...
Quantization has been proven to be an effective method for reducing the
...
In this paper we present DELTA, a deep learning based language technolog...
The existing binary foreground map (FM) measures to address various type...