Trajectory Prediction
Trajectory prediction involves forecasting the spatial coordinates of various dynamic entities on the road, such as cars, buses, pedestrians, tricycles, and animals, over short-term (1-3 seconds) and long-term (3-5 seconds) horizons. The task aims to provide accurate predictions by analyzing the distinct dynamic behaviors of these entities, such as aggressive or conservative driving styles, to enhance the safety and efficiency of autonomous driving systems and intelligent traffic management.
ActEV
Pishgu
ApolloScape
SpectralCows
Apolloscape Trajectory
Trafficpredict
Argoverse
Argoverse2
ETH
Social-Implicit
ETH BIWI Walking Pedestrians dataset
Social Ways
ETH/UCY
NSP
ForkingPaths
Multiverse
GPS
GTA-IM Dataset
Skeleton-Graph
HEV-I
SGNet
Hotel BIWI Walking Pedestrians dataset
Social Ways
INTERACTION Dataset - Validation
ITRA
JAAD
SGNet
Lyft Level 5
NGSIM
TraPHic
nuScenes
UniTraj (MTR)
PAID
DESIRE
PIE
SGNet
PROX
Skeleton-Graph
SDD
Multiclass-SGCN (ours)
Stanford Drone
NSP-SFM
STATS SportVu NBA [ATK]
DAG-Net
STATS SportVu NBA [DEF]
DAG-Net
TRAF
TraPHic
TrajAir: A General Aviation Trajectory Dataset
TrajAirNet
TrajNet++
Social-NCE + Social-LSTM
UCY
YJMob100K@B
YJMob100K@C
ST-MoE-BERT
YJMob100K@D