Occupancy anticipation for efficient exploration and navigation
State-of-the-art navigation methods leverage a spatial memory to generalize to new
environments, but their occupancy maps are limited to capturing the geometric structures …
environments, but their occupancy maps are limited to capturing the geometric structures …
Motionnet: Joint perception and motion prediction for autonomous driving based on bird's eye view maps
The ability to reliably perceive the environmental states, particularly the existence of objects
and their motion behavior, is crucial for autonomous driving. In this work, we propose an …
and their motion behavior, is crucial for autonomous driving. In this work, we propose an …
Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
Safe local motion planning with self-supervised freespace forecasting
Safe local motion planning for autonomous driving in dynamic environments requires
forecasting how the scene evolves. Practical autonomy stacks adopt a semantic object …
forecasting how the scene evolves. Practical autonomy stacks adopt a semantic object …
Fishing net: Future inference of semantic heatmaps in grids
For autonomous robots to navigate a complex environment, it is crucial to understand the
surrounding scene both geometrically and semantically. Modern autonomous robots employ …
surrounding scene both geometrically and semantically. Modern autonomous robots employ …
Shuttlenet: Position-aware fusion of rally progress and player styles for stroke forecasting in badminton
The increasing demand for analyzing the insights in sports has stimulated a line of
productive studies from a variety of perspectives, eg, health state monitoring, outcome …
productive studies from a variety of perspectives, eg, health state monitoring, outcome …
Unlimited neighborhood interaction for heterogeneous trajectory prediction
Understanding complex social interactions among agents is a key challenge for trajectory
prediction. Most existing methods consider the interactions between pairwise traffic agents …
prediction. Most existing methods consider the interactions between pairwise traffic agents …
Deep learning for vision-based prediction: A survey
A Rasouli - arXiv preprint arXiv:2007.00095, 2020 - arxiv.org
Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
Amenet: Attentive maps encoder network for trajectory prediction
Trajectory prediction is critical for applications of planning safe future movements and
remains challenging even for the next few seconds in urban mixed traffic. How an agent …
remains challenging even for the next few seconds in urban mixed traffic. How an agent …
End-to-end trajectory distribution prediction based on occupancy grid maps
In this paper, we aim to forecast a future trajectory distribution of a moving agent in the real
world, given the social scene images and historical trajectories. Yet, it is a challenging task …
world, given the social scene images and historical trajectories. Yet, it is a challenging task …