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 961–970 of 2605 papers

TitleStatusHype
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception—0
Real-Time Segmentation Networks should be Latency Aware—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Far3Det: Towards Far-Field 3D Detection—0
An Image-based Approach of Task-driven Driving Scene Categorization—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity—0
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Benchmark Results

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