DeepAI AI Chat
Log In Sign Up

Context-Aware Scene Prediction Network (CASPNet)

by   Maximilian Schäfer, et al.

Predicting the future motion of surrounding road users is a crucial and challenging task for autonomous driving (AD) and various advanced driver-assistance systems (ADAS). Planning a safe future trajectory heavily depends on understanding the traffic scene and anticipating its dynamics. The challenges do not only lie in understanding the complex driving scenarios but also the numerous possible interactions among road users and environments, which are practically not feasible for explicit modeling. In this work, we tackle the above challenges by jointly learning and predicting the motion of all road users in a scene, using a novel convolutional neural network (CNN) and recurrent neural network (RNN) based architecture. Moreover, by exploiting grid-based input and output data structures, the computational cost is independent of the number of road users and multi-modal predictions become inherent properties of our proposed method. Evaluation on the nuScenes dataset shows that our approach reaches state-of-the-art results in the prediction benchmark.


page 1

page 3

page 4

page 5

page 6

page 7


Road User Position Prediction in Urban Environments via Locally Weighted Learning

This paper focuses on the problem of predicting the future position of a...

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs

Enabling resilient autonomous motion planning requires robust prediction...

The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes

A high-performing object detection system plays a crucial role in autono...

Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability

Predicting the motion of other road agents enables autonomous vehicles t...

RoadNet-v2: A 10 ms Road Segmentation Using Spatial Sequence Layer

In automated driving systems (ADS) and advanced driver-assistance system...

A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry

Many trajectory forecasting methods, implementing deterministic and stoc...