Parallelize sensor model update

[nahueespinosa]

This patch parallelizes the computation of particle weights using standard C++ execution policies (libstdc++ uses libtbb to implement them). It also adds logs for the update steps.

Particles: 2000
Laser points: 1080

	Sequential Duration [seconds]	Parallel Duration [seconds]	Speed up
Motion update	0.0055	0.0055	0.9928128766
Sensor update	0.1423	0.0172	8.268438989
Resampling	0.0092	0.0094	0.9754982861
Total	0.1570	0.0321	4.883631913

Benchmarked in a system with the following CPU specs:

$ lscpu
Architecture:                    x86_64                                                                                                                     
CPU op-mode(s):                  32-bit, 64-bit                                                                                                             
Byte Order:                      Little Endian
Address sizes:                   48 bits physical, 48 bits virtual
CPU(s):                          16
On-line CPU(s) list:             0-15
Thread(s) per core:              2
Core(s) per socket:              8
Socket(s):                       1
NUMA node(s):                    1
Vendor ID:                       AuthenticAMD
CPU family:                      25
Model:                           80
Model name:                      AMD Ryzen 9 5900HX with Radeon Graphics
Stepping:                        0
Frequency boost:                 enabled
CPU MHz:                         3148.815
CPU max MHz:                     4680,0000
CPU min MHz:                     400,0000
BogoMIPS:                        6587.55
Virtualization:                  AMD-V
L1d cache:                       256 KiB
L1i cache:                       256 KiB
L2 cache:                        4 MiB
L3 cache:                        16 MiB

Related to #3.

[glpuga]

Only one probing question, but LGTM. Great speedup!

[nahueespinosa]

@glpuga Thanks for the review! Going in!