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 1071–1080 of 2605 papers

TitleStatusHype
Comparing a composite model versus chained models to locate a nearest visual object—0
SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition—0
The Effects of Varying Penetration Rates of L4-L5 Autonomous Vehicles on Fuel Efficiency and Mobility of Traffic Networks—0
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints—0
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems—0
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Benchmark Results

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