Autonomous driving requires the model to perceive the environment and (re) act within a low
latency for safety. While past works ignore the inevitable changes in the environment after …

In recent years, vision-centric perception has flourished in various autonomous driving tasks,
including 3D detection, semantic map construction, motion forecasting, and depth …

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that
has yet to be thoroughly explored in existing research. To address this gap, we present …

Streaming perception is a fundamental task in autonomous driving that requires a careful
balance between the latency and accuracy of the autopilot system. However, current …

In recent years, vision-centric perception has played a crucial role in autonomous driving
tasks, encompassing functions such as 3D detection, map construction, and motion …

The perceptive models of autonomous driving require fast inference within a low latency for
safety. While existing works ignore the inevitable environmental changes after processing …

Real-time efficient perception is critical for autonomous navigation and city scale sensing.
Orthogonal to architectural improvements, streaming perception approaches have exploited …

Nowadays, plenty of deep learning technologies are being applied to all aspects of
autonomous driving with promising results. Among them, object detection is the key to …

Emerging Internet of Things (IoT) and mobile computing applications are expected to
support latency-sensitive deep neural network (DNN) workloads. To realize this vision, the …

Streaming perception is a crucial task in the field of autonomous driving, which aims to
eliminate the inconsistency between the perception results and the real environment due to …