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General E2E AD - Coggle Diagram
General E2E AD
Conventional E2E AD
Multi-Task E2E
P3
ST-P3
MP3
UniAD 🎉 2023
Scene Modeling and Understanding
GraphAD
DualAD
Sparse
SparseDrive
SparseAD
VAD
OAD
GaussianAD
UncAD
ReasonNet
BridgeAD
Generative modeling
DiffAD
GenAD
FusionAD
Multi-task Coordination
Manually Coordination
DMAD
TTOG
PPAD
DriveAdapter
Unified Architecture
DriveTransformer
HiP-AD
Trajectory Policy
MomAD
CorDriver
Trainable Trajectory Evaluator
WoTE
Hydra-MDP 🎉 2024
Hydra-MDP++
Generative Modeling
DiffusionDrive
Consistency
DiffE2E
VADv2
Hierarchical Planning
ARTEMIS
CogAD
KEMP
GEMINUS
learning strategy
Reinforcement Learning
Drive in A Day
RAD
EvaDrive
ReconDreamer-RL
Knowledge Distillation
LBC
Roach
DistillDrive
IVMP
Active Learning
DRAB
ActiveAD
Self-supervised learning
UAD
PPGeo
LAW
Other Learning Strategy
MA2T
Centaur
CRCHFL
Planning-Only E2E
Alvinn
🎉
1988
CNN E2E
IVMP
Generative Modeling
GoalFlow
TransDiffuser
CIL
Efficiency
Fast-LiDARNet
EfficientFuser
DRAMA
GMF-Drive
Multitask-with-attention
Multi-modal Fusion
Transfuser
MMFN
Dataset
Without Language Annotation
OpenScene
NAVSIM
CARLA
Bench2Drive
nuScenes
With Language Annotation
Carla-Besed
DriveMLM
LMDrive
DriveLM-CARLA
DriveCoT
SimLingo
Bench2VLAD
Fully Derived from nuScenes
Talk2BeV
NuScenes-QA
STSBench
OmniDrive
nuPrompt
DriveLMM-o1
DriveBench
DriveR1
NuInteract
Talk2Car
DriveLM
NuScenes-MQA
SURDS
NuInsruct
nuScenesR²-6K
Self-Collected
HAD
SUTD-TrafficQA
DriveVLM
DRAMA
LingoQA
MAPLM
Rank2tell
CODA-LM
CoVLA
Robust-1
DrivingVQA
DriveAction
Constructed from Other Open-Source Dataset
Impromptu VLA
BDD-OIA
BDD-X
ContextVLM
DriveGPT4
Refer-KITTI
DRAMA-ROLISP
WOMD-Planning-ADE
WOMD-Reasoning
Reason2Drive
VLADBench
Hybrid E2E AD
Hierarchical Fusion Architecture
Fusion in Perception
VLM-E2E
NetRoller
Fusion in Planning
Senna
DME-Driver
FASIONAD
LeAD
VLAD
ReAL-AD
Fusion in Perception and Planning
Hint-AD
SOLVE
DriveVLM
VLM Aided Training
Planning and Action Alignment
VLM-AD
DIMA
Perception Planning
and Reasoning Alignment
VERDI
VLP
ALN-P3
VLM-centric E2E AD
Learning Strategies
Self-supervised Learning
ReasonPlan
S4-Driver
LDM
Poutine
Dilu
Model Distillation
DSDrive
FeD
VLM-Assisted
Reinforcement Learning
DriveMind
AutoVLA
AlphaDrive
Poutine
VLM-RL
ReCogDrive
AutoDrive-R²
Continuous Learning
VLM-Assisted
Efficiency
Model Distillation
CoT-Drive
DSDrive
Model Structure Optimization
AD-EE
MiniDrive
DriveMoE
DynRsl VLM
AsyncDriver
Data-centric Approaches
FastDrive
AutoPrune
Model Structure
Planning and Action policy
Action Head Design
Trajectory Planner
Rule
DriveMLM
ChatGPT as Your Vehicle Co-Pilot
Autoregression
AutoVLA
Diffusion
DriveMoE
Diff-VLA
ReCogDrive
Controller
VLM+（MLP+PID）
CarLLaVA
SimLingo
DriveGPT4-V2
VLM+MPC
LanguageMPC
Empowering
VLM-MPC
Reasoning and Planning Alignment
SimLingo
RDA-Driver
Security Check
FeD
PlanAgent
CALMM-Drive
Leapad
LeapVAD
Reasoning
Interpretation
LLaDA
WiseAD
Hybrid Reasoning
MCAM
Driving Knowledge
Explanation for Trajectory Planning
ADAPT
VLAAD
NavigScene
RAG
RAG-Driver
SafeAuto
Driving with Regulation
GVQA
DriveLM
SimpleLLM4AD
Reasoning with memory
DriVLMe
LeapVAD
Drive Like a Human
Drive as you speak
Agent-Driver
CoT
Structured Logic CoT
X-Driver
CoT-Drive
Dolphins
EMMA
ReasonPlan
Tool-Augmented CoT
AgentThink
DriveAgent-R1
Receive-Reason-React
Agent-Driver
Dynamic CoT
AutoVLA
VL Alignment
NuGrounding
BEV-TSR
Talk2BEV
GPVL
MPDrive
Spatial-temporal Understanding
Temporal Understanding
LaVida Drive
ELM
HiLM-D
Sce2DriveX
TrackingMeetsLMM
FSDrive
Cube-LLM
Spatial Understanding
LiDAR-LLM
LMDrive
DriveMonkey
BEVDriver
OmniDrive
Atlas
OpenDriveVLA
Reason2Drive
DriveMLM
DriveMonkey