Trajectory Planning
41 papers with code • 2 benchmarks • 7 datasets
Trajectory planning for industrial robots consists of moving the tool center point from point A to point B while avoiding body collisions over time. Trajectory planning is sometimes referred to as motion planning and erroneously as path planning. Trajectory planning is distinct from path planning in that it is parametrized by time. Essentially trajectory planning encompasses path planning in addition to planning how to move based on velocity, time, and kinematics.
nuScenes
highD Dataset
inD Dataset
ToolBench
rounD Dataset
exiD Dataset
uniD Dataset
Latest papers with no code
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
In this context, normalizing flows originating from the field of variational inference are considered for the generation of sampling distributions, as they model transformations of simple to more complex distributions.
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices.
Transfer Learning Study of Motion Transformer-based Trajectory Predictions
Trajectory planning in autonomous driving is highly dependent on predicting the emergent behavior of other road users.
LaPlaSS: Latent Space Planning for Stochastic Systems
We demonstrate that our algorithm, LaPlaSS, is able to generate trajectory plans with bounded risk for a real-world agent with learned dynamics and is an order of magnitude more efficient than the state of the art.
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector
The Mini-ASPP and PSA are specifically designed for shadow feature enhancement, thereby enabling the expression of local details and small objects.
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
Real-world driving involves intricate interactions among vehicles navigating through dense traffic scenarios.
Probability-Based Optimal Control Design for Soft Landing of Short-Stroke Actuators
The impact forces during switching operations of short-stroke actuators may cause bouncing, audible noise and mechanical wear.
Robust Trajectory and Resource Optimization for Communication-assisted UAV SAR Sensing
In this paper, we investigate joint 3-dimensional (3D) trajectory planning and resource allocation for rotary-wing unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) sensing.
Multi-Objective Trajectory Planning with Dual-Encoder
In this paper, we propose a two-stage approach to accelerate time-jerk optimal trajectory planning.
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
However, no existing method combines motion prediction and trajectory planning in a joint step while guaranteeing equivariance under roto-translations of the input space.
