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Greatest papers with code

Baidu Apollo EM Motion Planner

20 Jul 2018ApolloAuto/apollo

In this manuscript, we introduce a real-time motion planning system based on the Baidu Apollo (open source) autonomous driving platform.

AUTONOMOUS DRIVING MOTION PLANNING

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

16 Mar 2018maudzung/Complex-YOLOv4-Pytorch

We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.

3D OBJECT DETECTION AUTONOMOUS DRIVING MOTION PLANNING REGION PROPOSAL

One Thousand and One Hours: Self-driving Motion Prediction Dataset

25 Jun 2020lyft/l5kit

Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.

AUTONOMOUS VEHICLES MOTION FORECASTING MOTION PLANNING MOTION PREDICTION

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

4 May 2018mfe7/cadrl_ros

This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules.

DECISION MAKING MOTION PLANNING

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

9 Jan 2020mit-acl/faster

The standard approach to ensure safety is to enforce a "stop" condition in the free-known space.

MOTION PLANNING TRAJECTORY PLANNING

miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework

3 Sep 2019dongjing3309/minisam

Many problems in computer vision and robotics can be phrased as non-linear least squares optimization problems represented by factor graphs, for example, simultaneous localization and mapping (SLAM), structure from motion (SfM), motion planning, and control.

MOTION PLANNING SIMULTANEOUS LOCALIZATION AND MAPPING STRUCTURE FROM MOTION

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams

1 May 2019walzimmer/3d-bat

In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs for objects on the road with the help of a novel 3D Bounding Box Annotation Toolbox (3D BAT).

MOTION PLANNING MOTION PREDICTION

Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners

13 Jul 2019ahq1993/MPNet

We validate MPNet against gold-standard and state-of-the-art planning methods in a variety of problems from 2D to 7D robot configuration spaces in challenging and cluttered environments, with results showing significant and consistently stronger performance metrics, and motivating neural planning in general as a modern strategy for solving motion planning problems efficiently.

CONTINUAL LEARNING MOTION PLANNING

Deeply Informed Neural Sampling for Robot Motion Planning

26 Sep 2018ahq1993/MPNet

In this paper, we present a neural network-based adaptive sampler for motion planning called Deep Sampling-based Motion Planner (DeepSMP).

MOTION PLANNING