SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 661–670 of 2605 papers

TitleStatusHype
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes—0
ENet-21: An Optimized light CNN Structure for Lane Detection—0
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models—0
Global Point Cloud Registration Network for Large TransformationsCode0
CMP: Cooperative Motion Prediction with Multi-Agent Communication—0
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified