Method

StrongFusion-MOT [StrongFusion-MOT]
[Anonymous Submission]

Submitted on 2 Jun. 2022 02:22 by
[Anonymous Submission]

Running time:0.01 s
Environment:8 cores @ 2.5 Ghz (Python)

Method Description:
a stronger Lidar-Camera-fusion based MOT method.
Parameters:
TBD
Latex Bibtex:

Detailed Results

From all 29 test sequences, our benchmark computes the HOTA tracking metrics (HOTA, DetA, AssA, DetRe, DetPr, AssRe, AssPr, LocA) [1] as well as the CLEARMOT, MT/PT/ML, identity switches, and fragmentation [2,3] metrics. The tables below show all of these metrics.


Benchmark HOTA DetA AssA DetRe DetPr AssRe AssPr LocA
CAR 75.65 % 72.08 % 79.84 % 75.20 % 86.23 % 82.42 % 89.81 % 86.74 %

Benchmark TP FP FN
CAR 29734 4658 259

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 85.53 % 85.07 % 85.70 % 58 72.62 %

Benchmark MT rate PT rate ML rate FRAG
CAR 66.15 % 27.85 % 6.00 % 416

Benchmark # Dets # Tracks
CAR 29993 683

This table as LaTeX