Publication

Vehicle trajectory prediction works, but not everywhere

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Vehicle trajectory prediction works, but not everywhere

Graph Chatbot

Chat with Graph Search

Manifold Learning and Optimal Control for Obstacle Avoidance in Autonomous Driving

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

PifPaf: Composite Fields for Human Pose Estimation

SegMap: Segment-based mapping and localization using data-driven descriptors

Using Uncertainty Data in Chance-Constrained Trajectory Planning

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

The SaPPART COST Action: main outcomes and deliverables

Robust Control Policies Given Formal Specifications in Uncertain Environments

EEG-based decoding of error-related brain activity in a real-world driving task