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 3851–3875 of 6092 papers

TitleStatusHype
A Search-Based Testing Approach for Deep Reinforcement Learning AgentsCode1
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze RemovalCode0
ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and MappingCode1
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory PredictionCode1
High-Definition Map Generation Technologies For Autonomous Driving—0
R4D: Utilizing Reference Objects for Long-Range Distance Estimation—0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision ModelsCode1
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel TransformerCode2
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking—0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting—0
PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization—0
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU—0
Driving in Real Life with Inverse Reinforcement Learning—0
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving—0
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning—0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path—0
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous DrivingCode1
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios—0
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous DrivingCode1
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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