SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2426–2450 of 6092 papers

TitleStatusHype
CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network—0
NeuRAD: Neural Rendering for Autonomous DrivingCode2
GAN-Based LiDAR Intensity Simulation—0
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss—0
GDTS: Goal-Guided Diffusion Model with Tree Sampling for Multi-Modal Pedestrian Trajectory Prediction—0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
Security and Privacy Challenges in Deep Learning Models—0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory—0
ADriver-I: A General World Model for Autonomous Driving—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?—0
Attacking Motion Planners Using Adversarial Perception Errors—0
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
SelfOcc: Self-Supervised Vision-Based 3D Occupancy PredictionCode2
Applications of Large Scale Foundation Models for Autonomous Driving—0
SIAM: A Simple Alternating Mixer for Video Prediction—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection—0
Sparse4D v3: Advancing End-to-End 3D Detection and TrackingCode2
MUVO: A Multimodal World Model with Spatial Representations for Autonomous DrivingCode1
Pair-wise Layer Attention with Spatial Masking for Video PredictionCode0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control—0
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving—0
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-makingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified