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 2901–2925 of 6092 papers

TitleStatusHype
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
KIT MOMA: A Mobile Machines Dataset—0
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation—0
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images—0
Autonomous Driving Vehicles Using Adaptive Learning Method for Data Fusion—0
Key Ingredients of Self-Driving Cars—0
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path—0
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey—0
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems—0
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network—0
Knowledge Distillation for Action Anticipation via Label Smoothing—0
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction—0
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
Deep Surrogate Q-Learning for Autonomous Driving—0
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey—0
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning—0
L2PF -- Learning to Prune Faster—0
L3C-Stereo: Lossless Compression for Stereo Images—0
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving—0
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs—0
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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